1 1.前言
2
3
4 C#打印小票可以与普通打印机一样,调用PrintDocument实现。也可以发送标注你的ESC指令实现。由于 调用PrintDocument类时,无法操作使用串口或TCP/IP接口连接的pos打印机,并且无法发送控制指令实现pos打印机的切纸、走纸等动作。因此个人建议使用ESC指令进行打印会更通用。
5
6 本类需要调用 ImageProcessor.cs
7
8
9
10 2.POS机打印小票ReceiptHelper
11 using System;
12
13 using System.Collections.Generic;
14
15 using System.Text;
16
17 using System.Runtime.InteropServices;
18
19 using System.Threading;
20
21 using System.Drawing;
22
23 using System.Management;
24
25 using System.IO;
26
27 using LaisonTech.MediaLib;
28
29 using LaisonTech.CommonBLL;
30
31 using Microsoft.Win32.SafeHandles;
32
33
34
35 namespace LaisonTech.MediaLib
36
37 {
38
39
40
41 #region 结构体定义
42
43
44
45 [StructLayout(LayoutKind.Sequential)]
46
47 public struct OVERLAPPED
48
49 {
50
51 int Internal;
52
53 int InternalHigh;
54
55 int Offset;
56
57 int OffSetHigh;
58
59 int hEvent;
60
61 };
62
63
64
65 [StructLayout(LayoutKind.Sequential)]
66
67 public struct PRINTER_DEFAULTS
68
69 {
70
71
72
73 public int pDatatype;
74
75
76
77 public int pDevMode;
78
79
80
81 public int DesiredAccess;
82
83
84
85 }
86
87
88
89 /// <summary>
90
91 /// 对齐方式
92
93 /// </summary>
94
95 public enum eTextAlignMode
96
97 {
98
99 Left = 0,
100
101 Middle = 1,
102
103 Right = 2
104
105 }
106
107
108
109 #endregion
110
111
112
113 /// <summary>
114
115 /// 小票打印类
116
117 /// 使用方法:
118
119 /// 1 GetPrinterList获取已经安装的所有打印机列表.
120
121 /// Open 打开指定打印机
122
123 /// 2 控制打印机动作、执行打印内容之前,必须先调用StartPrint,准备向打印机发送控制指令
124
125 /// 3 调用SetLeft, SetBold, SetAlignMode, SetFontSize ... ...设置打印参数
126
127 /// 4 PrintText 打印内容.注意:打印该行内容后会自动换行(本类会在该行内容末尾添加一个换行符)
128
129 /// PrintImageFile 或 PrintBitMap打印图片
130
131 /// 5 控制指令和打印内容都发送完毕后,调用 EndPrint执行真正打印动作
132
133 /// 6 退出程序前调用Close
134
135 /// </summary>
136
137 public class ReceiptHelper
138
139 {
140
141 #region 指令定义
142
143
144
145 private static Byte[] Const_Init = new byte[] { 0x1B, 0x40,
146
147 0x20, 0x20, 0x20, 0x0A,
148
149 0x1B, 0x64,0x10};
150
151
152
153 //设置左边距
154
155 private const string Const_SetLeft = "1D 4C ";
156
157
158
159
160
161 //设置粗体
162
163 private const string Const_SetBold = "1B 45 ";
164
165 private const String Const_Bold_YES = "01";
166
167 private const String Const_Bold_NO = "00";
168
169
170
171
172
173 //设置对齐方式
174
175 private const string Const_SetAlign = "1B 61 ";
176
177 private const String Const_Align_Left = "30";
178
179 private const String Const_Align_Middle = "31";
180
181 private const String Const_Align_Right = "32";
182
183
184
185 //设置字体大小,与 SetBigFont 不能同时使用
186
187 private const string Const_SetFontSize = "1D 21 ";
188
189
190
191 //设置是否大字体,等同于 SetFontSize = 2
192
193 //private const String Const_SetBigFontBold = "1B 21 38";
194
195 //private const String Const_SetBigFontNotBold = "1B 21 30";
196
197 //private const String Const_SetCancelBigFont = "1B 21 00";
198
199
200
201 /// <summary>
202
203 /// 打印并走纸
204
205 /// </summary>
206
207 private static Byte[] Const_Cmd_Print = new byte[] { 0x1B, 0x4A, 0x00 };
208
209 //走纸
210
211 private const string Const_FeedForward = "1B 4A ";
212
213 private const string Const_FeedBack = "1B 6A ";
214
215
216
217 //切纸
218
219 private static Byte[] Const_SetCut = new byte[] { 0x1D, 0x56, 0x30};
220
221
222
223 //查询打印机状态
224
225 private static Byte[] Const_QueryID = new byte[] { 0x1D, 0x67, 0x61};
226
227
228
229 //回复帧以 ID 开头
230
231 private static String Const_ResponseQueryID = "ID";
232
233
234
235 /// <summary>
236
237 /// 设置图标的指令
238
239 /// </summary>
240
241 private static Byte[] Const_SetImageCommand = new Byte[] { 0x1B, 0x2A, 0x21 };
242
243
244
245 #endregion
246
247
248
249 #region 常量定义
250
251
252
253 /// <summary>
254
255 /// 最大字体大小
256
257 /// </summary>
258
259 public const Int32 Const_MaxFontSize = 8;
260
261 /// <summary>
262
263 /// 最大走纸距离
264
265 /// </summary>
266
267 public const Int32 Const_MaxFeedLength = 5000;
268
269
270
271 /// <summary>
272
273 /// 最大高宽
274
275 /// </summary>
276
277 public const Int32 Const_MaxImageLength = 480;
278
279
280
281 /// <summary>
282
283 /// 每次通信最多打印的行数
284
285 /// </summary>
286
287 public const Int32 Const_OncePrintRowCount = 24;
288
289
290
291 public const Int32 Const_BrightnessGate = 100;
292
293
294
295 /// <summary>
296
297 /// 无效句柄
298
299 /// </summary>
300
301 public const Int32 Const_InvalidHandle = -1;
302
303 #endregion
304
305
306
307 #region 私有成员
308
309
310
311 /// <summary>
312
313 /// 打印机句柄
314
315 /// </summary>
316
317 private int m_Handle = -1;
318
319
320
321 /// <summary>
322
323 /// 是否已经初始化
324
325 /// </summary>
326
327 private Boolean m_Inited = false;
328
329
330
331
332
333 #endregion
334
335
336
337 #region 私有函数
338
339
340
341 [DllImport("winspool.Drv", EntryPoint = "OpenPrinterA", SetLastError = true, CharSet = CharSet.Auto, ExactSpelling = true, CallingConvention = CallingConvention.StdCall)]
342
343 public static extern bool OpenPrinter([MarshalAs(UnmanagedType.LPStr)] string szPrinter,
344
345 out Int32 hPrinter, IntPtr pd);
346
347
348
349 [DllImport("winspool.Drv", EntryPoint = "StartDocPrinterA", SetLastError = true, CharSet = CharSet.Ansi, ExactSpelling = true, CallingConvention = CallingConvention.StdCall)]
350
351 public static extern bool StartDocPrinter(Int32 hPrinter, Int32 level, [In, MarshalAs(UnmanagedType.LPStruct)] DOCINFOA di);
352
353
354
355 [DllImport("winspool.Drv", EntryPoint = "EndDocPrinter", SetLastError = true, ExactSpelling = true, CallingConvention = CallingConvention.StdCall)]
356
357 public static extern bool EndDocPrinter(Int32 hPrinter);
358
359
360
361 [DllImport("winspool.Drv", EntryPoint = "StartPagePrinter", SetLastError = true, ExactSpelling = true, CallingConvention = CallingConvention.StdCall)]
362
363 public static extern bool StartPagePrinter(Int32 hPrinter);
364
365
366
367 [DllImport("winspool.Drv", EntryPoint = "EndPagePrinter", SetLastError = true, ExactSpelling = true, CallingConvention = CallingConvention.StdCall)]
368
369 public static extern bool EndPagePrinter(Int32 hPrinter);
370
371
372
373 [DllImport("winspool.Drv", EntryPoint = "WritePrinter", SetLastError = true, ExactSpelling = true, CallingConvention = CallingConvention.StdCall)]
374
375 public static extern bool WritePrinter(Int32 hPrinter, Byte[] pBytes, Int32 dwCount, out Int32 dwWritten);
376
377
378
379 [DllImport("winspool.Drv", EntryPoint = "ClosePrinter", SetLastError = true, ExactSpelling = true, CallingConvention = CallingConvention.StdCall)]
380
381 public static extern bool ClosePrinter(Int32 hPrinter);
382
383
384
385
386
387 /// <summary>
388
389 /// 发送指令
390
391 /// </summary>
392
393 /// <param name="cmd"></param>
394
395 /// <returns></returns>
396
397 private Boolean SendCommand(Byte[] cmd)
398
399 {
400
401 if (m_Handle == Const_InvalidHandle || cmd == null || cmd.Length < 2)
402
403 {
404
405 return false;
406
407 }
408
409
410
411 int writelen = 0;
412
413 Boolean bl = WritePrinter(m_Handle, cmd, cmd.Length, out writelen);
414
415
416
417 if (!bl) return false;
418
419 return (writelen >= cmd.Length);
420
421 }
422
423
424
425 /// <summary>
426
427 /// 发送文本格式的指令
428
429 /// </summary>
430
431 /// <param name="cmd"></param>
432
433 /// <returns></returns>
434
435 private Boolean SendCommand(String hexstrcmd)
436
437 {
438
439 if (m_Handle == Const_InvalidHandle || hexstrcmd == null || hexstrcmd.Length < 4)
440
441 {
442
443 return false;
444
445 }
446
447
448
449 byte[] mybyte = null;
450
451 Boolean bl = DataFormatProcessor.HexStringToBytes(hexstrcmd, out mybyte);
452
453 bl = SendCommand(mybyte);
454
455 return bl;
456
457 }
458
459
460
461
462
463 #endregion
464
465
466
467 #region 内部处理 - 打印图片
468
469
470
471 /// <summary>
472
473 /// 把图片转换为指令字节,图片最大高宽不能超过480
474
475 /// </summary>
476
477 /// <param name="image"></param>
478
479 /// <param name="bmpbytes"></param>
480
481 /// <returns></returns>
482
483 public static Boolean LoadImage(Bitmap image,
484
485 ref Byte[] bitarray,ref Int32 datawidth,ref Int32 dataheight)
486
487 {
488
489 Int32 newwidth = 0;
490
491 Int32 newheight = 0;
492
493 Bitmap destimage = image;
494
495 Boolean bl = false;
496
497
498
499 //如果高度超过范围,或宽度超过范围,需要进行缩小
500
501 if (image.Width > Const_MaxImageLength || image.Height > Const_MaxImageLength)
502
503 {
504
505 //按照高度和宽度,较大的那一边,进行缩放
506
507 if (image.Width > image.Height)
508
509 {
510
511 newwidth = Const_MaxImageLength;
512
513 newheight = (Int32)(image.Height * newwidth / (float)image.Width);
514
515 }
516
517 else
518
519 {
520
521 newheight = Const_MaxImageLength;
522
523 newwidth = (Int32)(newheight * image.Width / (float)image.Height);
524
525 }
526
527
528
529 bl = ImageProcessor.ResizeImage(image, newwidth, newheight, ref destimage);
530
531 }
532
533
534
535 //把数据转换为字节数组
536
537 bl = GetBitArray(image, ref bitarray, ref datawidth, ref dataheight);
538
539 return bl;
540
541 }
542
543
544
545 /// <summary>
546
547 /// 把图片转换为指令字节,图片最大高宽不能超过480
548
549 /// 如果图片的高度不是24的整数倍,则修改为24的整数倍
550
551 /// </summary>
552
553 /// <param name="image"></param>
554
555 /// <param name="bmpbytes"></param>
556
557 /// <returns></returns>
558
559 public static Boolean LoadImageFromFile(String imagefilename, ref Byte[] bmpbytes,
560
561 ref Int32 width, ref Int32 height)
562
563 {
564
565 Bitmap img = ImageProcessor.LoadBitImage(imagefilename);
566
567 if (img == null)
568
569 {
570
571 return false;
572
573 }
574
575
576
577 Boolean bl = LoadImage(img, ref bmpbytes, ref width, ref height);
578
579 return bl;
580
581 }
582
583
584
585 /// <summary>
586
587 /// 把图片转换为位图数组,每个字节的每个比特位,对应当前像素 是否需要打印
588
589 /// </summary>
590
591 /// <param name="img"></param>
592
593 /// <param name="allbitary"></param>
594
595 /// <returns></returns>
596
597 public static Boolean GetBitArray(Bitmap img,
598
599 ref Byte[] allbitary, ref Int32 width, ref Int32 height)
600
601 {
602
603 if (img == null)
604
605 {
606
607 return false;
608
609 }
610
611
612
613 //ESC指令格式规定:
614
615 //1 打印图片时,每条指令最多只打印24行;不足24行的,也要用全0填充满数据字节
616
617 //2 打印24行数据时,按照光栅模式纵向获取数据
618
619 // 即先获取所有x=0的点(第0列)转换为3个字节;
620
621 // 再获取所有x=1的点转换为3个字节;...直到获取到最右侧一列的点
622
623 //3 打印完当前24行数据后,再获取后续24行的数据内容,直到所有的数据获取完毕
624
625
626
627 //获取亮度数组
628
629 Boolean[] briary = null;
630
631 Boolean bl = ImageProcessor.ToBooleanArray(img, Const_BrightnessGate, ref briary);
632
633 if (!bl)
634
635 {
636
637 return false;
638
639 }
640
641
642
643 height = img.Height;//如果图像高度不是24整数倍,设置为24的整数倍
644
645 if (height % Const_OncePrintRowCount != 0)
646
647 {
648
649 height = height + Const_OncePrintRowCount - height % Const_OncePrintRowCount;
650
651 }
652
653
654
655 width = img.Width;//如果图像宽度不是8的整数倍,设置为8的整数倍
656
657 if (width % 8 != 0)
658
659 {
660
661 width = width + 8 - width % 8;
662
663 }
664
665
666
667 Int32 bytelen = height * width / 8;//每个像素对应1个比特位,因此总字节数=像素位数/8
668
669
670
671 allbitary = new Byte[bytelen];
672
673
674
675 Int32 byteidxInCol = 0;//当前列里首个像素,在目标字节数组里的下标
676
677 Int32 byteidx = 0;//当前像素在目标数组里的字节下标
678
679 Int32 bitidx = 0;//当前像素在目标数组里当前字节里的比特位下标
680
681 Int32 pixidxInCol = 0;//当前像素在当前列里的第几个位置
682
683
684
685 Int32 pixidx = 0;//当前像素在原始图片里的下标
686
687
688
689 Int32 rowidx = 0; //当前 处理的像素点所在行,不能超过 图像高度
690
691 Int32 curprocrows = 0;//当前需要处理的行数量
692
693 while (rowidx < height)
694
695 {
696
697 //按照纵向次序,把当前列的24个数据,转换为3个字节
698
699 for (Int32 colidx = 0; colidx < img.Width; ++colidx)
700
701 {
702
703 //如果当前还剩余超过24行没处理,处理24行
704
705 if (rowidx + Const_OncePrintRowCount <= img.Height)
706
707 {
708
709 curprocrows = Const_OncePrintRowCount;
710
711 }
712
713 else
714
715 {
716
717 //已经不足24行,只处理剩余行数
718
719 curprocrows = img.Height - rowidx;
720
721 }
722
723
724
725 pixidxInCol = 0; //本列里从像素0开始处理
726
727 for (Int32 y = rowidx; y < rowidx + curprocrows; ++y)
728
729 {
730
731 //原始图片里像素位置
732
733 pixidx = y * img.Width + colidx;
734
735
736
737 //获取当前像素的亮度值.如果当前像素是黑点,需要把数组里的对应比特位设置为1
738
739 if (briary[pixidx])
740
741 {
742
743 bitidx = 7 - pixidxInCol % 8;//最高比特位对应首个像素.最低比特位对应末个像素
744
745 byteidx = byteidxInCol + pixidxInCol / 8; //由于最后一段可能不足24行,因此不能使用byteidx++
746
747
748
749 DataFormatProcessor.SetBitValue(bitidx, true, ref allbitary[byteidx]);
750
751 }
752
753 pixidxInCol++;
754
755 }
756
757 byteidxInCol += 3;//每列固定24个像素,3个字节
758
759 }
760
761
762
763 rowidx += Const_OncePrintRowCount;
764
765 }
766
767
768
769 return true;
770
771 }
772
773
774
775 #endregion
776
777
778
779 #region 公开函数
780
781
782
783 private static ReceiptHelper m_instance = new ReceiptHelper();
784
785
786
787 /// <summary>
788
789 /// 当前使用的打印机名称
790
791 /// </summary>
792
793 public String PrinterName
794
795 {
796
797 get;private set;
798
799 }
800
801
802
803 /// <summary>
804
805 /// 单件模式
806
807 /// </summary>
808
809 /// <returns></returns>
810
811 public static ReceiptHelper GetInstance()
812
813 {
814
815 return m_instance;
816
817 }
818
819
820
821 /// <summary>
822
823 /// 获取本机安装的所有打印机
824
825 /// </summary>
826
827 /// <returns></returns>
828
829 public static List<String> GetPrinterList()
830
831 {
832
833 List<String> ret = new List<String>();
834
835 if (PrinterSettings.InstalledPrinters.Count < 1)
836
837 {
838
839 return ret;
840
841 }
842
843
844
845 foreach (String printername in PrinterSettings.InstalledPrinters)
846
847 {
848
849 ret.Add(printername);
850
851 }
852
853 return ret;
854
855 }
856
857
858
859 /// <summary>
860
861 /// 打开打印机
862
863 /// </summary>
864
865 /// <param name="printername"></param>
866
867 /// <returns></returns>
868
869 public Boolean Open(String printername)
870
871 {
872
873 if (m_Inited)
874
875 {
876
877 return true;
878
879 }
880
881 Boolean bl = OpenPrinter(printername.Normalize(), out m_Handle, IntPtr.Zero);
882
883
884
885 m_Inited = (bl && m_Handle != 0);
886
887 return true;
888
889 }
890
891
892
893 /// <summary>
894
895 /// 开始打印,在打印之前必须调用此函数
896
897 /// </summary>
898
899 /// <returns></returns>
900
901 public Boolean StartPrint()
902
903 {
904
905 if (!m_Inited)
906
907 {
908
909 return false;
910
911 }
912
913 DOCINFOA di = new DOCINFOA();
914
915 di.pDocName = "My C#.NET RAW Document";
916
917 di.pDataType = "RAW";
918
919 //Start a document.
920
921 Boolean bl = StartDocPrinter(m_Handle, 1, di);
922
923 if (!bl)
924
925 {
926
927 return false;
928
929 }
930
931 // Start a page.
932
933 bl = StartPagePrinter(m_Handle);
934
935 return bl;
936
937 }
938
939
940
941 /// <summary>
942
943 /// 结束打印,在打印结束之后必须调用此函数
944
945 /// </summary>
946
947 /// <returns></returns>
948
949 public Boolean EndPrint()
950
951 {
952
953 if (!m_Inited)
954
955 {
956
957 return false;
958
959 }
960
961 Boolean bl = EndPagePrinter(m_Handle);
962
963 bl = EndDocPrinter(m_Handle);
964
965 return bl;
966
967 }
968
969
970
971 /// <summary>
972
973 /// 销毁
974
975 /// </summary>
976
977 /// <returns></returns>
978
979 public Boolean Close()
980
981 {
982
983 if (!m_Inited)
984
985 {
986
987 return true;
988
989 }
990
991 m_Inited = false;
992
993
994
995 //关闭设备句柄
996
997 ClosePrinter(m_Handle);
998
999 m_Handle = -1;
1000
1001 return true;
1002
1003 }
1004
1005
1006
1007 /// <summary>
1008
1009 /// 打印文本.在调用本函数之前必须先调用正确的 设置字体、左边距
1010
1011 /// </summary>
1012
1013 /// <param name="content"></param>
1014
1015 /// <returns></returns>
1016
1017 public Boolean PrintText(String content)
1018
1019 {
1020
1021 if (!m_Inited)
1022
1023 {
1024
1025 return false;
1026
1027 }
1028
1029
1030
1031 byte[] bytes = null;
1032
1033 if (content.Length < 1)
1034
1035 {
1036
1037 content = " ";
1038
1039 }
1040
1041
1042
1043 if (content[content.Length - 1] != (char)0x0D &&
1044
1045 content[content.Length - 1] != (char)0x0A)
1046
1047 {
1048
1049 content = content + (char)0x0A;
1050
1051 }
1052
1053
1054
1055 bytes = DataFormatProcessor.StringToBytes(content);
1056
1057 bool bl = SendCommand(bytes);
1058
1059 return bl;
1060
1061 }
1062
1063
1064
1065 /// <summary>
1066
1067 /// 设置对齐方式
1068
1069 /// </summary>
1070
1071 /// <param name="left"></param>
1072
1073 /// <returns></returns>
1074
1075 public bool SetAlignMode(eTextAlignMode alignmode)
1076
1077 {
1078
1079 if (!m_Inited)
1080
1081 {
1082
1083 return false;
1084
1085 }
1086
1087
1088
1089 String code = String.Empty;
1090
1091 switch (alignmode)
1092
1093 {
1094
1095 case eTextAlignMode.Left:
1096
1097 code = Const_Align_Left;
1098
1099 break;
1100
1101 case eTextAlignMode.Middle:
1102
1103 code = Const_Align_Middle;
1104
1105 break;
1106
1107 case eTextAlignMode.Right:
1108
1109 code = Const_Align_Right;
1110
1111 break;
1112
1113 default:
1114
1115 code = Const_Align_Left;
1116
1117 break;
1118
1119 }
1120
1121
1122
1123 //注意:先低字节后高字节
1124
1125 string str = Const_SetAlign + code;
1126
1127 bool bl = SendCommand(str);
1128
1129 return bl;
1130
1131 }
1132
1133
1134
1135 /// <summary>
1136
1137 /// 设置左边距
1138
1139 /// </summary>
1140
1141 /// <param name="left"></param>
1142
1143 /// <returns></returns>
1144
1145 public bool SetLeft(int left)
1146
1147 {
1148
1149 if (!m_Inited)
1150
1151 {
1152
1153 return false;
1154
1155 }
1156
1157
1158
1159 //注意:先低字节后高字节
1160
1161 String hexstr = left.ToString("X4");
1162
1163 string str = Const_SetLeft + hexstr.Substring(2, 2) + hexstr.Substring(0, 2);
1164
1165 bool bl = SendCommand(str);
1166
1167 return bl;
1168
1169 }
1170
1171
1172
1173 /// <summary>
1174
1175 /// 设置粗体
1176
1177 /// </summary>
1178
1179 /// <param name="bold"></param>
1180
1181 /// <returns></returns>
1182
1183 public Boolean SetBold(Boolean bold)
1184
1185 {
1186
1187 if (!m_Inited)
1188
1189 {
1190
1191 return false;
1192
1193 }
1194
1195
1196
1197 //注意:先低字节后高字节
1198
1199 String str = String.Empty;
1200
1201 if (bold)
1202
1203 {
1204
1205 str = Const_SetBold + Const_Bold_YES;
1206
1207 }
1208
1209 else
1210
1211 {
1212
1213 str = Const_SetBold + Const_Bold_NO;
1214
1215 }
1216
1217 bool bl = SendCommand(str);
1218
1219 return bl;
1220
1221 }
1222
1223
1224
1225 /// <summary>
1226
1227 /// 切纸
1228
1229 /// </summary>
1230
1231 /// <returns></returns>
1232
1233 public bool Cut()
1234
1235 {
1236
1237 if (!m_Inited)
1238
1239 {
1240
1241 return false;
1242
1243 }
1244
1245 bool bl = SendCommand(Const_SetCut);
1246
1247 return bl;
1248
1249 }
1250
1251
1252
1253
1254
1255 /// <summary>
1256
1257 /// 打印图片
1258
1259 /// </summary>
1260
1261 /// <param name="bitmap"></param>
1262
1263 /// <returns></returns>
1264
1265 public bool PrintImageFile(String imgfilename)
1266
1267 {
1268
1269 if (!m_Inited)
1270
1271 {
1272
1273 return false;
1274
1275 }
1276
1277 Bitmap img = ImageProcessor.LoadBitImage(imgfilename);
1278
1279 if (img == null)
1280
1281 {
1282
1283 return false;
1284
1285 }
1286
1287
1288
1289 Boolean bl = PrintBitmap(img);
1290
1291 return bl;
1292
1293 }
1294
1295
1296
1297 /// <summary>
1298
1299 /// 打印图片
1300
1301 /// </summary>
1302
1303 /// <param name="bitmap"></param>
1304
1305 /// <returns></returns>
1306
1307 public bool PrintBitmap(Bitmap bitmap)
1308
1309 {
1310
1311 if (!m_Inited)
1312
1313 {
1314
1315 return false;
1316
1317 }
1318
1319
1320
1321 if (bitmap == null ||
1322
1323 bitmap.Width > Const_MaxImageLength ||
1324
1325 bitmap.Height > Const_MaxImageLength)
1326
1327 {
1328
1329 return false;
1330
1331 }
1332
1333
1334
1335 Byte[] bitary = null;
1336
1337 Int32 width = 0;
1338
1339 Int32 height = 0;
1340
1341 Boolean bl = GetBitArray(bitmap, ref bitary, ref width, ref height);
1342
1343
1344
1345 bl = PrintBitmapBytes(bitary, bitmap.Width, bitmap.Height);
1346
1347 return bl;
1348
1349 }
1350
1351
1352
1353 /// <summary>
1354
1355 /// 打印图片
1356
1357 /// </summary>
1358
1359 /// <param name="bitmap"></param>
1360
1361 /// <returns></returns>
1362
1363 public bool PrintBitmapBytes(Byte[] imgbitarray, Int32 width, Int32 height)
1364
1365 {
1366
1367 if (!m_Inited)
1368
1369 {
1370
1371 return false;
1372
1373 }
1374
1375 Int32 bytes = width * height / 8;
1376
1377 //检查是否尺寸符合要求
1378
1379 if (width > Const_MaxImageLength || height > Const_MaxFeedLength ||
1380
1381 width < 1 || height < 1 ||
1382
1383 imgbitarray == null)
1384
1385 {
1386
1387 return false;
1388
1389 }
1390
1391
1392
1393 //每次获取24行的数据进行发送,这24行的字节数
1394
1395 Int32 blockbytes = width * Const_OncePrintRowCount / 8;
1396
1397 if (blockbytes < 1)
1398
1399 {
1400
1401 return false;
1402
1403 }
1404
1405
1406
1407 Boolean bl = false;
1408
1409
1410
1411 //一共需要发送的块数量
1412
1413 Int32 blocks = imgbitarray.Length / blockbytes;
1414
1415
1416
1417 //每次发送的数据字节数 = 1B 2A 21 2字节长度 + 数据内容
1418
1419 Byte[] cmdbytes = new Byte[5 + blockbytes];
1420
1421 //指令
1422
1423 Array.Copy(Const_SetImageCommand, cmdbytes, 3);
1424
1425 //数据长度,即 每行的点数
1426
1427 DataFormatProcessor.Int16ToBytes(width, ref cmdbytes, 3);
1428
1429 //数据内容
1430
1431 for (Int32 blockidx = 0; blockidx < blocks; ++blockidx)
1432
1433 {
1434
1435 Array.Copy(imgbitarray, blockidx * blockbytes, cmdbytes, 5, blockbytes);
1436
1437 //发送当前指令
1438
1439 bl = SendCommand(cmdbytes);
1440
1441 if (!bl) return false;
1442
1443 //休眠20毫秒
1444
1445 Thread.Sleep(20);
1446
1447 //发送 打印指令
1448
1449 bl = SendCommand(Const_Cmd_Print);
1450
1451 if (!bl) return false;
1452
1453 }
1454
1455
1456
1457 return bl;
1458
1459 }
1460
1461
1462
1463 /// <summary>
1464
1465 /// 走纸
1466
1467 /// </summary>
1468
1469 /// <param name="length"></param>
1470
1471 /// <returns></returns>
1472
1473 public bool Feed(int length)
1474
1475 {
1476
1477 if (!m_Inited)
1478
1479 {
1480
1481 return false;
1482
1483 }
1484
1485 if (length < 1)
1486
1487 length = 1;
1488
1489 if (length > Const_MaxFeedLength)
1490
1491 {
1492
1493 length = Const_MaxFeedLength;
1494
1495 }
1496
1497 string len = length.ToString("X2");
1498
1499 len = Const_FeedForward + len;
1500
1501 bool bl = SendCommand(len);
1502
1503 return bl;
1504
1505 }
1506
1507
1508
1509 /// <summary>
1510
1511 /// 回退走纸
1512
1513 /// </summary>
1514
1515 /// <param name="length"></param>
1516
1517 /// <returns></returns>
1518
1519 public bool FeedBack(int length)
1520
1521 {
1522
1523 if (!m_Inited)
1524
1525 {
1526
1527 return false;
1528
1529 }
1530
1531 if (length < 1)
1532
1533 length = 1;
1534
1535 if (length > Const_MaxFeedLength)
1536
1537 {
1538
1539 length = Const_MaxFeedLength;
1540
1541 }
1542
1543 string len = length.ToString("X2");
1544
1545 len = Const_FeedBack + len;
1546
1547 bool bl = SendCommand(len);
1548
1549 return bl;
1550
1551 }
1552
1553
1554
1555 /// <summary>
1556
1557 /// 设置字体大小.本函数不可与SetBigFont同时使用
1558
1559 /// </summary>
1560
1561 /// <param name="sizerate">大小倍率,取值范围 1 - 8</param>
1562
1563 /// <returns></returns>
1564
1565 public bool SetFontSize(Int32 sizerate)
1566
1567 {
1568
1569 if (!m_Inited)
1570
1571 {
1572
1573 return false;
1574
1575 }
1576
1577
1578
1579 if (sizerate < 1)
1580
1581 {
1582
1583 sizerate = 1;
1584
1585 }
1586
1587
1588
1589 if (sizerate > Const_MaxFontSize)
1590
1591 {
1592
1593 sizerate = Const_MaxFontSize;
1594
1595 }
1596
1597 sizerate--;
1598
1599 String sizecodestr = Const_SetFontSize + sizerate.ToString("X1") + sizerate.ToString("X1");
1600
1601 bool bl = SendCommand(sizecodestr);
1602
1603 return bl;
1604
1605 }
1606
1607
1608
1609 #endregion
1610
1611
1612
1613
1614
1615
1616
1617 }
1618
1619 }
1620
1621
1622
1623 3.图像处理 ImageProcessor
1624 using System;
1625
1626 using System.Collections.Generic;
1627
1628 using System.Linq;
1629
1630 using System.Text;
1631
1632 using System.Drawing;
1633
1634 using LaisonTech.CommonBLL;
1635
1636 using System.Drawing.Imaging;
1637
1638 using System.IO;
1639
1640 using System.Drawing.Drawing2D;
1641
1642 using System.Windows.Forms;
1643
1644 using AForge.Imaging.Filters;
1645
1646
1647
1648 namespace LaisonTech.MediaLib
1649
1650 {
1651
1652 /// <summary>
1653
1654 /// 图片格式
1655
1656 /// </summary>
1657
1658 public enum ePictureFileFormat
1659
1660 {
1661
1662 Bmp = 0,
1663
1664 Gif = 1,
1665
1666 Icon = 2,
1667
1668 Jpeg = 3,
1669
1670 Png = 4,
1671
1672 }
1673
1674
1675
1676 /// <summary>
1677
1678 /// 转为灰度图像的方式
1679
1680 /// </summary>
1681
1682 public enum eGrayMode
1683
1684 {
1685
1686 /// <summary>
1687
1688 /// 算数平均
1689
1690 /// </summary>
1691
1692 ArithmeticAverage = 0,
1693
1694 /// <summary>
1695
1696 /// 加权平均
1697
1698 /// </summary>
1699
1700 WeightedAverage = 1,
1701
1702 }
1703
1704
1705
1706 /// <summary>
1707
1708 /// 比较2个图片的指定区域范围,像素的相同类型
1709
1710 /// </summary>
1711
1712 public enum eAreaDifferentType
1713
1714 {
1715
1716 /// <summary>
1717
1718 /// 所有像素都相同
1719
1720 /// </summary>
1721
1722 AllSame = 0,
1723
1724 /// <summary>
1725
1726 /// 所有像素都不同
1727
1728 /// </summary>
1729
1730 AllDifferent = 1,
1731
1732 /// <summary>
1733
1734 /// 部分相同部分不同
1735
1736 /// </summary>
1737
1738 Partial = 2,
1739
1740 }
1741
1742
1743
1744 /// <summary>
1745
1746 /// 图片文件处理
1747
1748 /// </summary>
1749
1750 public class ImageProcessor
1751
1752 {
1753
1754 #region 常量定义
1755
1756
1757
1758 public const Byte Const_BrightnessWhite = 255;
1759
1760 public const Byte Const_BrightnessBlack = 0;
1761
1762
1763
1764
1765
1766 /// <summary>
1767
1768 /// 比较结果的图片里,亮度相同部分的填充颜色
1769
1770 /// </summary>
1771
1772 public static Color Const_SameBrightnessColor = Color.Black;
1773
1774 /// <summary>
1775
1776 /// 比较结果的图片里,亮度相同部分的填充颜色
1777
1778 /// </summary>
1779
1780 public static Color Const_DifferentBrightnessColor = Color.White;
1781
1782
1783
1784 public const Byte Const_BlackBrightness = 0;
1785
1786 public const Byte Const_WhiteBrightness = 255;
1787
1788 public const Int32 Const_MaxBrightness = 255;
1789
1790
1791
1792 public const Int32 Const_MinBrightness = -255;
1793
1794
1795
1796 /// <summary>
1797
1798 /// 亮度的中间值
1799
1800 /// </summary>
1801
1802 public const Int32 Const_MiddleBrightness = 128;
1803
1804 #endregion
1805
1806
1807
1808 #region 屏幕截图,打印
1809
1810
1811
1812 /// <summary>
1813
1814 /// 获取屏幕分辨率
1815
1816 /// </summary>
1817
1818 /// <param name="width"></param>
1819
1820 /// <param name="height"></param>
1821
1822 public static void GetScreenSize(ref Int32 width, ref Int32 height)
1823
1824 {
1825
1826 height = Screen.PrimaryScreen.Bounds.Height;
1827
1828 width = Screen.PrimaryScreen.Bounds.Width;
1829
1830 }
1831
1832
1833
1834 /// <summary>
1835
1836 ///截图指定控件上显示的内容
1837
1838 /// </summary>
1839
1840 /// <param name="ctrl"></param>
1841
1842 /// <returns></returns>
1843
1844 public static Image CaptureControlImage(Control ctrl)
1845
1846 {
1847
1848 if (ctrl == null)
1849
1850 {
1851
1852 return null;
1853
1854 }
1855
1856
1857
1858 Control parent = ctrl;
1859
1860 if (ctrl.Parent != null)
1861
1862 {
1863
1864 parent = ctrl.Parent;
1865
1866 }
1867
1868 Point screenPoint = parent.PointToScreen(ctrl.Location);
1869
1870
1871
1872 Image ret = new Bitmap(ctrl.Width, ctrl.Height);
1873
1874 Graphics g = Graphics.FromImage(ret);
1875
1876 g.CopyFromScreen(screenPoint.X, screenPoint.Y,
1877
1878 0, 0, ctrl.Size);
1879
1880 g.DrawImage(ret, 0, 0);
1881
1882
1883
1884 return ret;
1885
1886 }
1887
1888
1889
1890
1891
1892 #endregion
1893
1894
1895
1896 #region 装载图片
1897
1898
1899
1900 /// <summary>
1901
1902 /// 装载图像文件
1903
1904 /// </summary>
1905
1906 /// <param name="filename"></param>
1907
1908 /// <returns></returns>
1909
1910 public static Image LoadImage(String filename)
1911
1912 {
1913
1914 //Boolean bl = FileProcessor.FileExist(filename);
1915
1916 //if (!bl)
1917
1918 //{
1919
1920 // return null;
1921
1922 //}
1923
1924 //Bitmap image = (Bitmap)Bitmap.FromFile(filename);
1925
1926 //return image;
1927
1928
1929
1930 //以上方法会导致图片文件被锁定,无法删除移动
1931
1932
1933
1934 Byte[] photodata = null;
1935
1936 Boolean bl = FileProcessor.FileExist(filename);
1937
1938 if (!bl)
1939
1940 {
1941
1942 return null;
1943
1944 }
1945
1946
1947
1948 bl = FileProcessor.ReadFileBytes(filename, out photodata);
1949
1950 if (!bl)
1951
1952 {
1953
1954 return null;
1955
1956 }
1957
1958
1959
1960 MemoryStream ms = null;
1961
1962 Image myImage = null;
1963
1964 try
1965
1966 {
1967
1968 ms = new MemoryStream(photodata);
1969
1970 myImage = Bitmap.FromStream(ms);
1971
1972 ms.Close();
1973
1974 }
1975
1976 catch (System.Exception ex)
1977
1978 {
1979
1980 Console.WriteLine("LoadImage error:" + ex.Message);
1981
1982 myImage = null;
1983
1984 }
1985
1986 return myImage;
1987
1988 }
1989
1990
1991
1992 /// <summary>
1993
1994 /// 装载图像文件
1995
1996 /// </summary>
1997
1998 /// <param name="filename"></param>
1999
2000 /// <returns></returns>
2001
2002 public static Bitmap LoadBitImage(String filename)
2003
2004 {
2005
2006 Bitmap ret = (Bitmap)LoadImage(filename);
2007
2008 return ret;
2009
2010 }
2011
2012
2013
2014 /// <summary>
2015
2016 /// 保存图片到指定路径
2017
2018 /// </summary>
2019
2020 /// <param name="img"></param>
2021
2022 /// <param name="filename"></param>
2023
2024 /// <returns></returns>
2025
2026 public static Boolean SaveImage(Image img, String filename)
2027
2028 {
2029
2030 FileProcessor.DeleteFile(filename);
2031
2032 if (img == null)
2033
2034 {
2035
2036 return false;
2037
2038 }
2039
2040 //获取保存图片的路径,如果路径不存在,新建
2041
2042 String folder = FileProcessor.GetDirectoryName(filename);
2043
2044 if (!FileProcessor.DirectoryExist(folder))
2045
2046 {
2047
2048 FileProcessor.CreateDirectory(folder);
2049
2050 }
2051
2052 img.Save(filename);
2053
2054 Boolean bl = FileProcessor.FileExist(filename);
2055
2056 return bl;
2057
2058 }
2059
2060
2061
2062 #endregion
2063
2064
2065
2066 #region 转换图片格式
2067
2068
2069
2070 /// <summary>
2071
2072 /// 转换图片格式
2073
2074 /// </summary>
2075
2076 /// <param name="bmpfilename"></param>
2077
2078 /// <param name="jpgfilename"></param>
2079
2080 /// <returns></returns>
2081
2082 public static Boolean BmpToJpg(String bmpfilename, String jpgfilename)
2083
2084 {
2085
2086 Boolean bl = ChangeFileFormat(bmpfilename, jpgfilename, ePictureFileFormat.Jpeg);
2087
2088 return bl;
2089
2090 }
2091
2092
2093
2094 /// <summary>
2095
2096 /// 转换图片格式
2097
2098 /// </summary>
2099
2100 /// <param name="srcfilename"></param>
2101
2102 /// <param name="destfilename"></param>
2103
2104 /// <param name="destformat"></param>
2105
2106 /// <returns></returns>
2107
2108 public static Boolean ChangeFileFormat(String srcfilename, String destfilename, ePictureFileFormat destformat)
2109
2110 {
2111
2112 Boolean bl = FileProcessor.FileExist(srcfilename);
2113
2114 if (!bl)
2115
2116 {
2117
2118 return false;
2119
2120 }
2121
2122 Image image = Image.FromFile(srcfilename);
2123
2124
2125
2126 ImageFormat IFMT = null;
2127
2128 switch (destformat)
2129
2130 {
2131
2132 case ePictureFileFormat.Bmp:
2133
2134 IFMT = ImageFormat.Bmp;
2135
2136 break;
2137
2138 case ePictureFileFormat.Gif:
2139
2140 IFMT = ImageFormat.Gif;
2141
2142 break;
2143
2144 case ePictureFileFormat.Icon:
2145
2146 IFMT = ImageFormat.Icon;
2147
2148 break;
2149
2150 case ePictureFileFormat.Jpeg:
2151
2152 IFMT = ImageFormat.Jpeg;
2153
2154 break;
2155
2156 case ePictureFileFormat.Png:
2157
2158 IFMT = ImageFormat.Png;
2159
2160 break;
2161
2162 default:
2163
2164 IFMT = ImageFormat.Jpeg;
2165
2166 break;
2167
2168 }
2169
2170 image.Save(destfilename, IFMT);
2171
2172 image.Dispose();
2173
2174
2175
2176 bl = FileProcessor.FileExist(destfilename);
2177
2178 if (!bl)
2179
2180 {
2181
2182 return false;
2183
2184 }
2185
2186
2187
2188 Int32 filelen = FileProcessor.GetFileLength(destfilename);
2189
2190 return (filelen > 0);
2191
2192 }
2193
2194
2195
2196 /// <summary>
2197
2198 /// 变成黑白图
2199
2200 /// </summary>
2201
2202 /// <param name="srcbitmap">原始图</param>
2203
2204 /// <param name="mode">模式。0:加权平均 1:算数平均</param>
2205
2206 /// <returns></returns>
2207
2208 public static Bitmap ToGray(Bitmap bitmap, eGrayMode mode = eGrayMode.ArithmeticAverage)
2209
2210 {
2211
2212 if (bitmap == null)
2213
2214 {
2215
2216 return null;
2217
2218 }
2219
2220
2221
2222 int width = bitmap.Width;
2223
2224 int height = bitmap.Height;
2225
2226 byte newColor = 0;
2227
2228 try
2229
2230 {
2231
2232 BitmapData srcData = bitmap.LockBits(new Rectangle(0, 0, width, height),
2233
2234 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
2235
2236 unsafe
2237
2238 {
2239
2240 byte* curpix = (byte*)srcData.Scan0.ToPointer();
2241
2242 if (mode == eGrayMode.ArithmeticAverage)// 算数平均
2243
2244 {
2245
2246 for (int y = 0; y < height; y++)
2247
2248 {
2249
2250 for (int x = 0; x < width; x++)
2251
2252 {
2253
2254 newColor = (byte)((float)(curpix[0] + curpix[1] + curpix[2]) / 3.0f);
2255
2256 curpix[0] = newColor;
2257
2258 curpix[1] = newColor;
2259
2260 curpix[2] = newColor;
2261
2262 curpix += 3;
2263
2264 }
2265
2266 curpix += srcData.Stride - width * 3;
2267
2268 }
2269
2270 }
2271
2272 else
2273
2274 {
2275
2276 // 加权平均
2277
2278 for (int y = 0; y < height; y++)
2279
2280 {
2281
2282 for (int x = 0; x < width; x++)
2283
2284 {
2285
2286 newColor = (byte)((float)curpix[0] * 0.114f + (float)curpix[1] * 0.587f + (float)curpix[2] * 0.299f);
2287
2288 curpix[0] = newColor;
2289
2290 curpix[1] = newColor;
2291
2292 curpix[2] = newColor;
2293
2294 curpix += 3;
2295
2296 }
2297
2298 curpix += srcData.Stride - width * 3;
2299
2300 }
2301
2302 }
2303
2304 bitmap.UnlockBits(srcData);
2305
2306 }
2307
2308 }
2309
2310 catch
2311
2312 {
2313
2314 bitmap = null;
2315
2316 }
2317
2318
2319
2320 return bitmap;
2321
2322 }
2323
2324
2325
2326 /// <summary>
2327
2328 /// 获取一幅图片对应的所有像素亮度数组
2329
2330 /// </summary>
2331
2332 /// <param name="bitmap">原始图</param>
2333
2334 /// <param name="brightnessary">亮度值数组</param>
2335
2336 /// <param name="mode">模式。0:加权平均 1:算数平均</param>
2337
2338 /// <returns></returns>
2339
2340 public static Boolean GetImageBrightness(Bitmap bitmap, ref Byte[] brightnessary,
2341
2342 eGrayMode mode = eGrayMode.WeightedAverage)
2343
2344 {
2345
2346 if (bitmap == null)
2347
2348 {
2349
2350 return false;
2351
2352 }
2353
2354
2355
2356 int width = bitmap.Width;
2357
2358 int height = bitmap.Height;
2359
2360 if (width < 1 || height < 1)
2361
2362 {
2363
2364 return false;
2365
2366 }
2367
2368
2369
2370 brightnessary = new Byte[width * height];
2371
2372 Boolean bl = false;
2373
2374 Int32 rowredundancy = 0;//每一行像素,对应的数组长度 与 实际像素点数的差值
2375
2376 Int32 pixidx = 0;//像素下标
2377
2378 try
2379
2380 {
2381
2382 BitmapData srcData = bitmap.LockBits(new Rectangle(0, 0, width, height),
2383
2384 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
2385
2386 rowredundancy = srcData.Stride - width * 3;//每行末尾还有这么多的冗余字节
2387
2388
2389
2390 unsafe
2391
2392 {
2393
2394 byte* curpix = (byte*)srcData.Scan0.ToPointer();
2395
2396 if (mode == eGrayMode.ArithmeticAverage)// 算数平均
2397
2398 {
2399
2400 for (int y = 0; y < height; y++)
2401
2402 {
2403
2404 for (int x = 0; x < width; x++)
2405
2406 {
2407
2408 brightnessary[pixidx] = (byte)((float)(curpix[0] + curpix[1] + curpix[2]) / 3.0f);
2409
2410 ++pixidx;
2411
2412 curpix += 3;
2413
2414 }
2415
2416 curpix += rowredundancy;
2417
2418 }
2419
2420 }
2421
2422 else
2423
2424 {
2425
2426 // 加权平均
2427
2428 for (int y = 0; y < height; y++)
2429
2430 {
2431
2432 for (int x = 0; x < width; x++)
2433
2434 {
2435
2436 brightnessary[pixidx] = (byte)((float)curpix[0] * 0.114f + (float)curpix[1] * 0.587f + (float)curpix[2] * 0.299f);
2437
2438 ++pixidx;
2439
2440 curpix += 3;
2441
2442 }
2443
2444 curpix += rowredundancy;
2445
2446 }
2447
2448 }
2449
2450 bitmap.UnlockBits(srcData);
2451
2452 }
2453
2454 bl = true;
2455
2456 }
2457
2458 catch(Exception ex)
2459
2460 {
2461
2462 bl = false;
2463
2464 Console.WriteLine("Get brightness ary error:" + ex.Message);
2465
2466 }
2467
2468
2469
2470 return bl;
2471
2472 }
2473
2474
2475
2476 /// <summary>
2477
2478 /// 变成黑白图,每个元素都是一个像素的亮度
2479
2480 /// </summary>
2481
2482 /// <param name=" bitmap ">原始图</param>
2483
2484 /// <param name=" graybitmap ">黑白图</param>
2485
2486 /// <param name=" brightnessbytes ">黑白所有像素点亮度</param>
2487
2488 /// <param name="mode">模式。0:加权平均 1:算数平均</param>
2489
2490 /// <returns></returns>
2491
2492 public static Boolean ToGray(Bitmap bitmap, ref Bitmap graybitmap, ref Byte[] brightnessbytes,
2493
2494 eGrayMode mode = eGrayMode.WeightedAverage)
2495
2496 {
2497
2498 if (bitmap == null)
2499
2500 {
2501
2502 return false;
2503
2504 }
2505
2506
2507
2508 brightnessbytes = new Byte[bitmap.Width * bitmap.Height];
2509
2510
2511
2512 int width = bitmap.Width;
2513
2514 int height = bitmap.Height;
2515
2516 //Clone 可能引发 GDI+异常
2517
2518 graybitmap = new Bitmap(bitmap);
2519
2520
2521
2522 byte newColor = 0;
2523
2524 Int32 bytesidx = 0;
2525
2526 Boolean bl = false;
2527
2528 try
2529
2530 {
2531
2532 BitmapData srcData = graybitmap.LockBits(new Rectangle(0, 0, width, height),
2533
2534 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
2535
2536 unsafe
2537
2538 {
2539
2540 byte* curpix = (byte*)srcData.Scan0.ToPointer();
2541
2542 if (mode == eGrayMode.ArithmeticAverage)// 算数平均
2543
2544 {
2545
2546 for (int y = 0; y < height; y++)
2547
2548 {
2549
2550 for (int x = 0; x < width; x++)
2551
2552 {
2553
2554 newColor = (byte)((float)(curpix[0] + curpix[1] + curpix[2]) / 3.0f);
2555
2556
2557
2558 brightnessbytes[bytesidx] = newColor;
2559
2560 ++bytesidx;
2561
2562
2563
2564 curpix[0] = newColor;
2565
2566 curpix[1] = newColor;
2567
2568 curpix[2] = newColor;
2569
2570 curpix += 3;
2571
2572 }
2573
2574 curpix += srcData.Stride - width * 3;
2575
2576 }
2577
2578 }
2579
2580 else
2581
2582 {
2583
2584 // 加权平均
2585
2586 for (int y = 0; y < height; y++)
2587
2588 {
2589
2590 for (int x = 0; x < width; x++)
2591
2592 {
2593
2594 newColor = (byte)((float)curpix[0] * 0.114f + (float)curpix[1] * 0.587f + (float)curpix[2] * 0.299f);
2595
2596
2597
2598 brightnessbytes[bytesidx] = newColor;
2599
2600 ++bytesidx;
2601
2602
2603
2604 curpix[0] = newColor;
2605
2606 curpix[1] = newColor;
2607
2608 curpix[2] = newColor;
2609
2610 curpix += 3;
2611
2612 }
2613
2614 curpix += srcData.Stride - width * 3;
2615
2616 }
2617
2618 }
2619
2620 graybitmap.UnlockBits(srcData);
2621
2622 }
2623
2624
2625
2626 bl = true;
2627
2628 }
2629
2630 catch(Exception ex)
2631
2632 {
2633
2634 graybitmap = null;
2635
2636 Console.WriteLine("ToGray error:" + ex.Message);
2637
2638 bl = false;
2639
2640 }
2641
2642
2643
2644 return bl;
2645
2646 }
2647
2648
2649
2650
2651
2652 /// <summary>
2653
2654 /// 把图片转换为非黑即白的二色图.
2655
2656 /// </summary>
2657
2658 /// <param name="bitmap">原始图</param>
2659
2660 /// <param name="brightnessGate">亮度门限.超过此亮度认为白点,否则认为黑点</param>
2661
2662 /// <param name="bitary">每个像素点是否为黑点的数组</param>
2663
2664 /// <param name="trueAsblack">true-每个元素黑点为true,白点为false; false-每个元素白点为true,黑点为false</param>
2665
2666 /// <returns></returns>
2667
2668 public static Boolean ToBooleanArray(Bitmap bitmap, Byte brightnessGate, ref Boolean[] bitary, Boolean trueAsblack = true)
2669
2670 {
2671
2672 if (bitmap == null)
2673
2674 {
2675
2676 return false;
2677
2678 }
2679
2680
2681
2682 bitary = new Boolean[bitmap.Width * bitmap.Height];
2683
2684
2685
2686 int width = bitmap.Width;
2687
2688 int height = bitmap.Height;
2689
2690
2691
2692 byte curcolor = 0;
2693
2694 Int32 pixidx = 0;
2695
2696 Boolean bl = false;
2697
2698 try
2699
2700 {
2701
2702 BitmapData srcData = bitmap.LockBits(new Rectangle(0, 0, width, height),
2703
2704 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
2705
2706 unsafe
2707
2708 {
2709
2710 byte* curpix = (byte*)srcData.Scan0.ToPointer();
2711
2712
2713
2714 for (int y = 0; y < height; y++)
2715
2716 {
2717
2718 for (int x = 0; x < width; x++)
2719
2720 {
2721
2722 curcolor = (byte)((float)(curpix[0] + curpix[1] + curpix[2]) / 3.0f);
2723
2724
2725
2726 if (trueAsblack)//true为黑点
2727
2728 {
2729
2730 bitary[pixidx] = (curcolor < brightnessGate);
2731
2732 }
2733
2734 else
2735
2736 {
2737
2738 //true为白点
2739
2740 bitary[pixidx] = (curcolor > brightnessGate);
2741
2742 }
2743
2744 ++pixidx;
2745
2746 curpix += 3;
2747
2748 }
2749
2750 curpix += srcData.Stride - width * 3;
2751
2752 }
2753
2754 bitmap.UnlockBits(srcData);
2755
2756 }
2757
2758
2759
2760 bl = true;
2761
2762 }
2763
2764 catch (Exception ex)
2765
2766 {
2767
2768 Console.WriteLine("ToGray error:" + ex.Message);
2769
2770 bl = false;
2771
2772 }
2773
2774
2775
2776 return bl;
2777
2778 }
2779
2780
2781
2782 /// <summary>
2783
2784 /// 亮度差数组变成bool数组.true表示亮度不同,false表示亮度相同
2785
2786 /// </summary>
2787
2788 /// <param name="bridiffary">亮度差数组</param>
2789
2790 /// <param name="brightnessGate">亮度门限.超过此亮度认为白点,否则认为黑点</param>
2791
2792 /// <returns></returns>
2793
2794 public static Boolean BrightnessToBoolean(Byte[] bridiffary, Byte brightnessGate, ref Boolean[] boolary)
2795
2796 {
2797
2798 if (bridiffary == null || bridiffary.Length < 4)
2799
2800 {
2801
2802 return false;
2803
2804 }
2805
2806
2807
2808 boolary = new Boolean[bridiffary.Length];
2809
2810
2811
2812 for (Int32 idx = 0; idx < bridiffary.Length; ++idx)
2813
2814 {
2815
2816 boolary[idx] = (bridiffary[idx] > brightnessGate);
2817
2818 }
2819
2820
2821
2822 return true;
2823
2824 }
2825
2826
2827
2828 #endregion
2829
2830
2831
2832 #region 图片调整
2833
2834
2835
2836 /// <summary>
2837
2838 /// 调整亮度
2839
2840 /// </summary>
2841
2842 /// <param name="bitmap">原始图</param>
2843
2844 /// <param name="degree">亮度,取值范围-255 - 255</param>
2845
2846 /// <returns></returns>
2847
2848 public static Bitmap SetBrightness(Bitmap srcbitmap, int brightnessOffset)
2849
2850 {
2851
2852 if (srcbitmap == null)
2853
2854 {
2855
2856 return null;
2857
2858 }
2859
2860
2861
2862 CommonCompute.SetInt32Range(ref brightnessOffset, Const_MinBrightness, Const_MaxBrightness);
2863
2864 int width = srcbitmap.Width;
2865
2866 int height = srcbitmap.Height;
2867
2868
2869
2870 Bitmap bitmap = (Bitmap)srcbitmap.Clone();
2871
2872
2873
2874 try
2875
2876 {
2877
2878 BitmapData data = bitmap.LockBits(new Rectangle(0, 0, width, height),
2879
2880 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
2881
2882
2883
2884 unsafe
2885
2886 {
2887
2888 byte* curpix = (byte*)data.Scan0.ToPointer();
2889
2890 Int32 curcolor = 0;
2891
2892 for (int y = 0; y < height; y++)
2893
2894 {
2895
2896 for (int x = 0; x < width; x++)
2897
2898 {
2899
2900 curcolor = curpix[0] + brightnessOffset;
2901
2902 CommonCompute.SetInt32Range(ref curcolor, 0, Const_MaxBrightness);
2903
2904 curpix[0] = (byte)curcolor;
2905
2906
2907
2908 curcolor = curpix[1] + brightnessOffset;
2909
2910 CommonCompute.SetInt32Range(ref curcolor, 0, Const_MaxBrightness);
2911
2912 curpix[1] = (byte)curcolor;
2913
2914
2915
2916 curcolor = curpix[2] + brightnessOffset;
2917
2918 CommonCompute.SetInt32Range(ref curcolor, 0, Const_MaxBrightness);
2919
2920 curpix[2] = (byte)curcolor;
2921
2922
2923
2924 curpix += 3;
2925
2926 }
2927
2928 curpix += data.Stride - width * 3;
2929
2930 }
2931
2932 }
2933
2934
2935
2936 bitmap.UnlockBits(data);
2937
2938 }
2939
2940 catch
2941
2942 {
2943
2944 bitmap = null;
2945
2946 }
2947
2948
2949
2950 return bitmap;
2951
2952 }
2953
2954
2955
2956 /// <summary>
2957
2958 /// 调整图像对比度
2959
2960 /// </summary>
2961
2962 /// <param name="bitmap">原始图</param>
2963
2964 /// <param name="degree">对比度 0 - 100</param>
2965
2966 /// <returns></returns>
2967
2968 public static Bitmap SetContrast(Bitmap srcbitmap, int contrast)
2969
2970 {
2971
2972 if (srcbitmap == null)
2973
2974 {
2975
2976 return null;
2977
2978 }
2979
2980
2981
2982 //对比度取值范围,0-100
2983
2984 CommonCompute.SetInt32Range(ref contrast, 0, 100);
2985
2986
2987
2988 Int32 curcolor = 0;
2989
2990 Bitmap bitmap = (Bitmap)srcbitmap.Clone();
2991
2992 int width = bitmap.Width;
2993
2994 int height = bitmap.Height;
2995
2996
2997
2998 //调整对比度基本思路:0时,所有像素点的亮度都设置为中间值128
2999
3000 //100 时,把亮度大于128的像素,亮度设置为255;小于128的设置为0
3001
3002 //即:50时,保持不变;小于50,所有点的亮度向中间值128偏移;大于50,所有点亮度值向两端偏移
3003
3004
3005
3006 //如果当前像素点的亮度是130, 对比度为50时,结果仍然要是130,此时rate为1.0
3007
3008 //对比度为100时,结果要变成255,此时rate >= 128
3009
3010 //对比度为0时,结果要变成128,此时rate = 0
3011
3012 //因此可知对比度与rate的对应关系
3013
3014 //对比度: 0 50 100
3015
3016 //rate : 0 1 127
3017
3018 double rate = 0;
3019
3020 if (contrast == 50)
3021
3022 {
3023
3024 rate = 1;
3025
3026 }
3027
3028 else if (contrast < 50)
3029
3030 {
3031
3032 rate = contrast / 50.0;//小于50的,对比度比率必须是纯小数,0-1 之间
3033
3034 }
3035
3036 else
3037
3038 {
3039
3040 rate = 1 + Const_MiddleBrightness * ((contrast - 50.0) / 50.0);//大于50的,比率必须是1到128之间的值
3041
3042 }
3043
3044
3045
3046 try
3047
3048 {
3049
3050
3051
3052 BitmapData data = bitmap.LockBits(new Rectangle(0, 0, width, height),
3053
3054 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
3055
3056 unsafe
3057
3058 {
3059
3060 byte* curpix = (byte*)data.Scan0.ToPointer();
3061
3062
3063
3064 for (int y = 0; y < height; y++)
3065
3066 {
3067
3068 for (int x = 0; x < width; x++)
3069
3070 {
3071
3072 for (int i = 0; i < 3; i++) //R,G,B 3个通道
3073
3074 {
3075
3076 //对于 刚好亮度等于中间值的点,需要把亮度调高或调低1
3077
3078 //否则将无法实现对该点 提高对比度
3079
3080 if (curpix[i] == Const_MiddleBrightness)
3081
3082 {
3083
3084 curpix[i] = (byte)(curpix[i] + 1);
3085
3086 }
3087
3088
3089
3090 //调整该像素对比度
3091
3092 curcolor = (Int32)(Const_MiddleBrightness + (curpix[i] - Const_MiddleBrightness) * rate);
3093
3094 CommonCompute.SetInt32Range(ref curcolor, Const_MinBrightness, Const_MaxBrightness);
3095
3096 curpix[i] = (byte)curcolor;
3097
3098 ++curpix;
3099
3100 }
3101
3102 }
3103
3104
3105
3106 curpix += data.Stride - width * 3;
3107
3108 }
3109
3110 }
3111
3112 bitmap.UnlockBits(data);
3113
3114 }
3115
3116 catch
3117
3118 {
3119
3120 bitmap = null;
3121
3122 }
3123
3124
3125
3126 return bitmap;
3127
3128 }
3129
3130
3131
3132 /// <summary>
3133
3134 /// 任意角度旋转
3135
3136 /// </summary>
3137
3138 /// <param name="srcbitmap">原始图Bitmap</param>
3139
3140 /// <param name="angle">旋转角度</param>
3141
3142 /// <param name="bkColor">背景色</param>
3143
3144 /// <returns>输出Bitmap</returns>
3145
3146 public static Bitmap Rotate(Bitmap srcbitmap, float angle, Color bkColor)
3147
3148 {
3149
3150 int w = srcbitmap.Width + 2;
3151
3152 int h = srcbitmap.Height + 2;
3153
3154
3155
3156 PixelFormat pf;
3157
3158
3159
3160 if (bkColor == Color.Transparent)
3161
3162 {
3163
3164 pf = PixelFormat.Format32bppArgb;
3165
3166 }
3167
3168 else
3169
3170 {
3171
3172 pf = srcbitmap.PixelFormat;
3173
3174 }
3175
3176
3177
3178 Bitmap tmp = new Bitmap(w, h, pf);
3179
3180 Graphics g = Graphics.FromImage(tmp);
3181
3182 g.Clear(bkColor);
3183
3184 g.DrawImageUnscaled(srcbitmap, 1, 1);
3185
3186 g.Dispose();
3187
3188
3189
3190 GraphicsPath path = new GraphicsPath();
3191
3192 path.AddRectangle(new RectangleF(0f, 0f, w, h));
3193
3194 Matrix mtrx = new Matrix();
3195
3196 mtrx.Rotate(angle);
3197
3198 RectangleF rct = path.GetBounds(mtrx);
3199
3200
3201
3202 Bitmap dst = new Bitmap((int)rct.Width, (int)rct.Height, pf);
3203
3204 g = Graphics.FromImage(dst);
3205
3206 g.Clear(bkColor);
3207
3208 g.TranslateTransform(-rct.X, -rct.Y);
3209
3210 g.RotateTransform(angle);
3211
3212 g.InterpolationMode = InterpolationMode.HighQualityBilinear;
3213
3214 g.DrawImageUnscaled(tmp, 0, 0);
3215
3216 g.Dispose();
3217
3218
3219
3220 tmp.Dispose();
3221
3222
3223
3224 return dst;
3225
3226 }
3227
3228
3229
3230 /// <summary>
3231
3232 /// Gamma校正
3233
3234 /// </summary>
3235
3236 /// <param name="srcbitmap">输入Bitmap</param>
3237
3238 /// <param name="val">[0 <-明- 1 -暗-> 2]</param>
3239
3240 /// <returns>输出Bitmap</returns>
3241
3242 public static Bitmap SetGamma(Bitmap srcbitmap, float val)
3243
3244 {
3245
3246 if (srcbitmap == null)
3247
3248 {
3249
3250 return null;
3251
3252 }
3253
3254
3255
3256 // 1表示无变化,就不做
3257
3258 if (val == 1.0000f) return srcbitmap;
3259
3260
3261
3262 try
3263
3264 {
3265
3266 Bitmap b = new Bitmap(srcbitmap.Width, srcbitmap.Height);
3267
3268 Graphics g = Graphics.FromImage(b);
3269
3270 ImageAttributes attr = new ImageAttributes();
3271
3272
3273
3274 attr.SetGamma(val, ColorAdjustType.Bitmap);
3275
3276 g.DrawImage(srcbitmap, new Rectangle(0, 0, srcbitmap.Width, srcbitmap.Height), 0, 0, srcbitmap.Width, srcbitmap.Height, GraphicsUnit.Pixel, attr);
3277
3278 g.Dispose();
3279
3280 return b;
3281
3282 }
3283
3284 catch
3285
3286 {
3287
3288 return null;
3289
3290 }
3291
3292 }
3293
3294
3295
3296 /// <summary>
3297
3298 /// 重新设置图片尺寸
3299
3300 /// </summary>
3301
3302 /// <param name="srcbitmap">original Bitmap</param>
3303
3304 /// <param name="newW">new width</param>
3305
3306 /// <param name="newH">new height</param>
3307
3308 /// <returns>worked bitmap</returns>
3309
3310 public static Boolean ResizeImage(Bitmap srcimg, int newW, int newH, ref Bitmap destimage)
3311
3312 {
3313
3314 if (srcimg == null)
3315
3316 {
3317
3318 return false;
3319
3320 }
3321
3322
3323
3324 destimage = new Bitmap(newW, newH);
3325
3326 Graphics graph = Graphics.FromImage(destimage);
3327
3328 Boolean bl = true;
3329
3330 try
3331
3332 {
3333
3334 graph.InterpolationMode = InterpolationMode.HighQualityBicubic;
3335
3336 graph.DrawImage(srcimg, new Rectangle(0, 0, newW, newH),
3337
3338 new Rectangle(0, 0, srcimg.Width, srcimg.Height),
3339
3340 GraphicsUnit.Pixel);
3341
3342
3343
3344 graph.Dispose();
3345
3346 }
3347
3348 catch (Exception ex)
3349
3350 {
3351
3352 Console.WriteLine("ResizeImage error" + ex.Message);
3353
3354 bl = false;
3355
3356 }
3357
3358 return bl;
3359
3360 }
3361
3362
3363
3364
3365
3366 /// <summary>
3367
3368 /// 去除噪点
3369
3370 /// </summary>
3371
3372 /// <param name="noisypointsize">噪点的尺寸</param>
3373
3374 /// <param name="bitmap">待处理的图片信息</param>
3375
3376 /// <returns></returns>
3377
3378 public static Boolean RemoveNoisypoint(Int32 noisypointsize, ref Bitmap bitmap)
3379
3380 {
3381
3382 if (bitmap == null || noisypointsize < 1 ||
3383
3384 noisypointsize * 2 >= bitmap.Width || noisypointsize * 2 >= bitmap.Height)
3385
3386 {
3387
3388 return false;
3389
3390 }
3391
3392
3393
3394 // 创建过滤器
3395
3396 BlobsFiltering blobfilter =
3397
3398 new BlobsFiltering();
3399
3400 // 设置过滤条件(对象长、宽至少为70)
3401
3402 blobfilter.CoupledSizeFiltering = true;
3403
3404 blobfilter.MinWidth = noisypointsize;
3405
3406 blobfilter.MinHeight = noisypointsize;
3407
3408 blobfilter.ApplyInPlace(bitmap);
3409
3410
3411
3412 return true;
3413
3414 }
3415
3416
3417
3418 /// <summary>
3419
3420 /// 把图片里指定区域的内容复制到另一个图片里
3421
3422 /// </summary>
3423
3424 /// <param name="srcimg"></param>
3425
3426 /// <param name="x"></param>
3427
3428 /// <param name="y"></param>
3429
3430 /// <param name="width"></param>
3431
3432 /// <param name="height"></param>
3433
3434 /// <param name="destimg"></param>
3435
3436 /// <returns></returns>
3437
3438 public static Boolean CutImage(Bitmap srcimg, Int32 x, Int32 y, Int32 width, Int32 height, ref Bitmap destimg)
3439
3440 {
3441
3442 if (srcimg == null || x < 0 || y < 0 || width < 1 || height < 1 ||
3443
3444 x + width > srcimg.Width || y + height > srcimg.Height)
3445
3446 {
3447
3448 return false;
3449
3450 }
3451
3452
3453
3454 destimg = new Bitmap(width, height, PixelFormat.Format32bppArgb);
3455
3456 Graphics graph = Graphics.FromImage(destimg);
3457
3458 graph.InterpolationMode = InterpolationMode.HighQualityBicubic;
3459
3460 graph.DrawImage(srcimg, new Rectangle(0, 0, width, height),
3461
3462 new Rectangle(x, y, width, height), GraphicsUnit.Pixel);
3463
3464 graph.Dispose();
3465
3466 return true;
3467
3468 }
3469
3470
3471
3472 #endregion
3473
3474
3475
3476 #region 亮度处理
3477
3478
3479
3480
3481
3482
3483
3484 /// <summary>
3485
3486 /// 获取指定坐标处的亮度值
3487
3488 /// </summary>
3489
3490 /// <param name="bitmap"></param>
3491
3492 /// <param name="x"></param>
3493
3494 /// <param name="y"></param>
3495
3496 /// <returns></returns>
3497
3498 public static Boolean GetPixBrightness(Bitmap bitmap, Int32 x, Int32 y, eGrayMode mode, ref Byte brightness)
3499
3500 {
3501
3502 if (bitmap == null)
3503
3504 {
3505
3506 return false;
3507
3508 }
3509
3510
3511
3512 if (x < 0 || x >= bitmap.Width ||
3513
3514 y < 0 || y >= bitmap.Height)
3515
3516 {
3517
3518 return false;
3519
3520 }
3521
3522
3523
3524 Color curColor = bitmap.GetPixel(x, y);
3525
3526 //利用公式计算灰度值(加权平均法)
3527
3528 if (mode == eGrayMode.ArithmeticAverage)
3529
3530 {
3531
3532 brightness = (Byte)(curColor.R * 0.299f + curColor.G * 0.587f + curColor.B * 0.114f);
3533
3534 }
3535
3536 else
3537
3538 {
3539
3540 brightness = (Byte)((curColor.R + curColor.G + curColor.B) / 3.0f);
3541
3542 }
3543
3544 return true;
3545
3546 }
3547
3548
3549
3550 /// <summary>
3551
3552 /// 获取指定坐标处的亮度值
3553
3554 /// </summary>
3555
3556 /// <param name="bitmap"></param>
3557
3558 /// <param name="x"></param>
3559
3560 /// <param name="y"></param>
3561
3562 /// <returns></returns>
3563
3564 public static Boolean GetPixBrightness(Byte[] bribytes, Int32 width,Int32 height,
3565
3566 Int32 x, Int32 y, ref Byte brightness)
3567
3568 {
3569
3570 if (bribytes == null || width < 1 || height < 1 ||
3571
3572 x < 0 || x >= width ||
3573
3574 y < 0 || y >= height ||
3575
3576 bribytes.Length != width * height)
3577
3578 {
3579
3580 return false;
3581
3582 }
3583
3584
3585
3586 brightness = bribytes[y * width + x];
3587
3588
3589
3590 return true;
3591
3592 }
3593
3594
3595
3596 /// <summary>
3597
3598 /// 获取指定坐标处的亮度值
3599
3600 /// </summary>
3601
3602 /// <param name="bitmap"></param>
3603
3604 /// <param name="x"></param>
3605
3606 /// <param name="y"></param>
3607
3608 /// <returns></returns>
3609
3610 public static Boolean GetPixBrightnessByRate(Byte[] bribytes, Int32 width, Int32 height,
3611
3612 double xRate, double yRate, ref Byte brightness)
3613
3614 {
3615
3616 int x = (int)(width * xRate);
3617
3618 int y = (int)(height * yRate);
3619
3620
3621
3622 if (bribytes == null || width < 1 || height < 1 ||
3623
3624 x < 0 || x >= width ||
3625
3626 y < 0 || y >= height ||
3627
3628 bribytes.Length != width * height)
3629
3630 {
3631
3632 return false;
3633
3634 }
3635
3636
3637
3638 brightness = bribytes[y * width + x];
3639
3640 return true;
3641
3642 }
3643
3644
3645
3646 /// <summary>
3647
3648 /// 获取指定坐标处的颜色
3649
3650 /// </summary>
3651
3652 /// <param name="bitmap"></param>
3653
3654 /// <param name="x"></param>
3655
3656 /// <param name="y"></param>
3657
3658 /// <returns></returns>
3659
3660 public static Boolean GetPixColor(Bitmap bitmap, Int32 x, Int32 y, ref Color curColor)
3661
3662 {
3663
3664 if (bitmap == null)
3665
3666 {
3667
3668 return false;
3669
3670 }
3671
3672
3673
3674 if (x < 0 || x >= bitmap.Width ||
3675
3676 y < 0 || y >= bitmap.Height)
3677
3678 {
3679
3680 return false;
3681
3682 }
3683
3684
3685
3686 curColor = bitmap.GetPixel(x, y);
3687
3688 return true;
3689
3690 }
3691
3692
3693
3694 /// <summary>
3695
3696 /// 获取指定坐标处的颜色
3697
3698 /// </summary>
3699
3700 /// <param name="bitmap"></param>
3701
3702 /// <param name="x"></param>
3703
3704 /// <param name="y"></param>
3705
3706 /// <returns></returns>
3707
3708 public static Boolean GetPixColorByRate(Bitmap bitmap, double xRate, double yRate, ref Color curColor)
3709
3710 {
3711
3712 if (bitmap == null)
3713
3714 {
3715
3716 return false;
3717
3718 }
3719
3720
3721
3722 int width = bitmap.Width;
3723
3724 int height = bitmap.Height;
3725
3726 int X = (int)(width * xRate);
3727
3728 int Y = (int)(height * yRate);
3729
3730
3731
3732 Boolean bl = GetPixColor(bitmap, X, Y, ref curColor);
3733
3734 return bl;
3735
3736 }
3737
3738
3739
3740 /// <summary>
3741
3742 /// 把颜色转换为亮度值
3743
3744 /// </summary>
3745
3746 /// <param name="bitmap"></param>
3747
3748 /// <param name="x"></param>
3749
3750 /// <param name="y"></param>
3751
3752 /// <returns></returns>
3753
3754 public static Boolean GetBrightnessByColor(Color curColor, eGrayMode mode, ref Byte brightness)
3755
3756 {
3757
3758 if (curColor == null)
3759
3760 {
3761
3762 return false;
3763
3764 }
3765
3766
3767
3768 //利用公式计算灰度值(加权平均法)
3769
3770 if (mode == eGrayMode.ArithmeticAverage)
3771
3772 {
3773
3774 brightness = (Byte)(curColor.R * 0.299f + curColor.G * 0.587f + curColor.B * 0.114f);
3775
3776 }
3777
3778 else
3779
3780 {
3781
3782 brightness = (Byte)((curColor.R + curColor.G + curColor.B) / 3.0f);
3783
3784 }
3785
3786 return true;
3787
3788 }
3789
3790
3791
3792 #endregion
3793
3794
3795
3796 #region 图片比较
3797
3798
3799
3800 /// <summary>
3801
3802 /// 根据2个图片的亮度值,比较图片的差异部分
3803
3804 /// </summary>
3805
3806 /// <param name="brightnessDiff"></param>
3807
3808 /// <param name="compareret"></param>
3809
3810 /// <returns></returns>
3811
3812 public static Boolean CompareImageBrightness(Byte brightnessDiff,
3813
3814 Byte[] brightness1, Byte[] brightness2,
3815
3816 ref Boolean[] diffPixArray)
3817
3818 {
3819
3820
3821
3822 if (brightness1 == null || brightness2 == null ||
3823
3824 brightness1.Length < 1 || brightness2.Length < 1 ||
3825
3826 brightness1.Length != brightness2.Length)
3827
3828 {
3829
3830 return false;
3831
3832 }
3833
3834
3835
3836 Int32 arylen = brightness1.Length;
3837
3838 diffPixArray = new Boolean[brightness1.Length];
3839
3840 Byte bri1 = 0;
3841
3842 Byte bri2 = 0;
3843
3844
3845
3846 for (Int32 byteidx = 0; byteidx < arylen; ++byteidx)
3847
3848 {
3849
3850 bri1 = brightness1[byteidx];
3851
3852 bri2 = brightness2[byteidx];
3853
3854
3855
3856 //亮度差超过指定范围
3857
3858 if (bri1 >= bri2 + brightnessDiff ||
3859
3860 bri2 >= bri1 + brightnessDiff)
3861
3862 {
3863
3864 diffPixArray[byteidx] = true;
3865
3866 }
3867
3868 }
3869
3870
3871
3872 return true;
3873
3874 }
3875
3876
3877
3878 /// <summary>
3879
3880 /// 把2个图片的尺寸设置为一样大
3881
3882 /// </summary>
3883
3884 /// <param name="image1"></param>
3885
3886 /// <param name="image2"></param>
3887
3888 /// <returns></returns>
3889
3890 public static Boolean ResizeImageToSame(ref Bitmap image1, ref Bitmap image2)
3891
3892 {
3893
3894 if (image1 == null || image2 == null ||
3895
3896 image1.Width == 0 || image1.Height == 0 ||
3897
3898 image2.Width == 0 || image2.Height == 0)
3899
3900 {
3901
3902 return false;
3903
3904 }
3905
3906
3907
3908 //如果2个图片尺寸不一样,把大的尺寸压缩小了再比较
3909
3910 Boolean bl = false;
3911
3912 Bitmap tmpimg = null;
3913
3914 if (image1.Width > image2.Width && image1.Height < image2.Height)
3915
3916 {
3917
3918 return false;
3919
3920 }
3921
3922 if (image1.Width < image2.Width && image1.Height > image2.Height)
3923
3924 {
3925
3926 return false;
3927
3928 }
3929
3930
3931
3932 //image1 比较大,把image2放大到 与1一样大
3933
3934 if (image1.Width > image2.Width && image1.Height > image2.Height)
3935
3936 {
3937
3938 bl = ResizeImage(image2, image1.Width, image1.Height, ref tmpimg);
3939
3940 image2 = tmpimg;
3941
3942 }
3943
3944
3945
3946 //image 2比较大,把image1放大到 与2一样大
3947
3948 if (image1.Width < image2.Width && image1.Height < image2.Height)
3949
3950 {
3951
3952 bl = ResizeImage(image1, image2.Width, image2.Height, ref tmpimg);
3953
3954 image1 = tmpimg;
3955
3956 }
3957
3958
3959
3960 return true;
3961
3962 }
3963
3964
3965
3966 /// <summary>
3967
3968 /// 根据2个图片的像素颜色值,比较图片的差异部分
3969
3970 /// </summary>
3971
3972 /// <param name="compareparam"></param>
3973
3974 /// <param name="compareret"></param>
3975
3976 /// <returns></returns>
3977
3978 public static Boolean CompareImage(ImageCompareParameter compareparam,
3979
3980 ref ImageCompareResult compareret)
3981
3982 {
3983
3984 Bitmap image1 = compareparam.Image1;
3985
3986 Bitmap image2 = compareparam.Image2;
3987
3988
3989
3990 Int32 briDiff = compareparam.BrightnessDiff;
3991
3992 Color diffColor = compareparam.DifferentAreaFillColor;
3993
3994 Color samecolor = compareparam.SameAreaFillColor;
3995
3996 //是否需要填充相同或不同部分的像素的颜色
3997
3998 Boolean filldiffcolor = (diffColor != Color.Transparent);
3999
4000 Boolean fillsamecolor = (samecolor != Color.Transparent);
4001
4002
4003
4004 //如果图片尺寸不一样,修改为一样大
4005
4006 Boolean bl = ResizeImageToSame(ref image1, ref image2);
4007
4008 if (!bl)
4009
4010 {
4011
4012 return false;
4013
4014 }
4015
4016
4017
4018 Bitmap imagediff = (Bitmap)image1.Clone();
4019
4020
4021
4022 //不同区域的左上下右位置
4023
4024 Int32 areaLeft = imagediff.Width;
4025
4026 Int32 areaTop = imagediff.Height;
4027
4028 Int32 areaRight = -1;
4029
4030 Int32 areaBottom = -1;
4031
4032
4033
4034 int width = image1.Width;
4035
4036 int height = image1.Height;
4037
4038
4039
4040 long allpixcnt = height * width;//所有像素点数量
4041
4042 long diffpixcnt = 0;//不同像素点数量
4043
4044 long samepixcnt = 0;//相同像素点数量
4045
4046
4047
4048 //3张图片的各像素亮度数组
4049
4050 Int32 briaryidx = 0;
4051
4052 Byte[] briary1 = new Byte[allpixcnt];
4053
4054 Byte[] briary2 = new Byte[allpixcnt];
4055
4056 Byte[] briaryret = new Byte[allpixcnt];
4057
4058
4059
4060 Byte diffB = diffColor.B;
4061
4062 Byte diffG = diffColor.G;
4063
4064 Byte diffR = diffColor.R;
4065
4066 Byte sameB = samecolor.B;
4067
4068 Byte sameG = samecolor.G;
4069
4070 Byte sameR = samecolor.R;
4071
4072
4073
4074 Byte samebri = 0;
4075
4076 Byte diffbri = 0;
4077
4078 GetBrightnessByColor(diffColor, eGrayMode.WeightedAverage, ref samebri);
4079
4080 GetBrightnessByColor(diffColor, eGrayMode.WeightedAverage, ref diffbri);
4081
4082
4083
4084 try
4085
4086 {
4087
4088
4089
4090 BitmapData data1 = image1.LockBits(new Rectangle(0, 0, width, height),
4091
4092 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
4093
4094
4095
4096 BitmapData data2 = image2.LockBits(new Rectangle(0, 0, width, height),
4097
4098 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
4099
4100
4101
4102 BitmapData datadiff = imagediff.LockBits(new Rectangle(0, 0, width, height),
4103
4104 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
4105
4106
4107
4108 byte bri1 = 0;
4109
4110 byte bri2 = 0;
4111
4112
4113
4114 //每个像素是否相同.1相同,0不同
4115
4116 compareret.PixIsDifferent = new Boolean[width * height];
4117
4118
4119
4120 //当前像素是否不同
4121
4122 Boolean curpixIsdiff = false;
4123
4124 unsafe
4125
4126 {
4127
4128 byte* curpix1 = (byte*)data1.Scan0.ToPointer();
4129
4130 byte* curpix2 = (byte*)data2.Scan0.ToPointer();
4131
4132 byte* curpixdiff = (byte*)datadiff.Scan0.ToPointer();
4133
4134
4135
4136 for (int y = 0; y < height; y++)
4137
4138 {
4139
4140 for (int x = 0; x < width; x++)
4141
4142 {
4143
4144 //利用公式计算灰度值(加权平均法)
4145
4146 //按BGR的顺序存储
4147
4148 bri1 = (Byte)(curpix1[0] * 0.114f + curpix1[1] * 0.587f + curpix1[2] * 0.299f);
4149
4150 bri2 = (Byte)(curpix2[0] * 0.114f + curpix2[1] * 0.587f + curpix2[2] * 0.299f);
4151
4152
4153
4154 //以1作为基准,比较1和2之间的差距,如果超过阀值,认为当前像素有差异
4155
4156 //否则认为当前像素没有差异
4157
4158 curpixIsdiff = false;
4159
4160 if (bri1 >= bri2 + briDiff ||
4161
4162 bri2 >= bri1 + briDiff)
4163
4164 {
4165
4166 curpixIsdiff = true;
4167
4168 }
4169
4170
4171
4172 briary1[briaryidx] = bri1;
4173
4174 briary2[briaryidx] = bri2;
4175
4176
4177
4178 if (curpixIsdiff) //如果有差异,设置图像1里的当前像素为 不同颜色
4179
4180 {
4181
4182 if (filldiffcolor)
4183
4184 {
4185
4186 curpixdiff[0] = diffB;
4187
4188 curpixdiff[1] = diffG;
4189
4190 curpixdiff[2] = diffR;
4191
4192 }
4193
4194 ++diffpixcnt;
4195
4196
4197
4198 if (x < areaLeft) //记忆最左边的像素位置
4199
4200 {
4201
4202 areaLeft = x;
4203
4204 }
4205
4206 if (x > areaRight) //记忆最右边的像素位置
4207
4208 {
4209
4210 areaRight = x;
4211
4212 }
4213
4214 if (y < areaTop) //记忆最上边的像素位置
4215
4216 {
4217
4218 areaTop = y;
4219
4220 }
4221
4222 if (y > areaBottom) //记忆最下边的像素位置
4223
4224 {
4225
4226 areaBottom = y;
4227
4228 }
4229
4230
4231
4232 //记忆当前像素的比较结果的亮度
4233
4234 briaryret[briaryidx] = diffbri;
4235
4236 }
4237
4238 else //没有差异,设置结果里的当前像素为 相同颜色
4239
4240 {
4241
4242 if (fillsamecolor)
4243
4244 {
4245
4246 curpixdiff[0] = sameB;
4247
4248 curpixdiff[1] = sameG;
4249
4250 curpixdiff[2] = sameR;
4251
4252 }
4253
4254 ++samepixcnt;
4255
4256
4257
4258 //记忆当前像素的比较结果的亮度
4259
4260 briaryret[briaryidx] = samebri;
4261
4262 }
4263
4264
4265
4266 // 比较结果的亮度数组下标
4267
4268 ++briaryidx;
4269
4270
4271
4272 //像素是否不同的标志
4273
4274 compareret.PixIsDifferent[y * width + x] = curpixIsdiff;
4275
4276
4277
4278 curpix1 += 3;
4279
4280 curpix2 += 3;
4281
4282 curpixdiff += 3;
4283
4284 }
4285
4286 curpix1 += data1.Stride - width * 3;
4287
4288 curpix2 += data1.Stride - width * 3;
4289
4290 curpixdiff += datadiff.Stride - width * 3;
4291
4292 }
4293
4294 }
4295
4296
4297
4298 image1.UnlockBits(data1);
4299
4300 image2.UnlockBits(data2);
4301
4302 imagediff.UnlockBits(datadiff);
4303
4304
4305
4306 compareret.RateDifferent = diffpixcnt / (double)allpixcnt;
4307
4308 compareret.RateSame = samepixcnt / (double)allpixcnt;
4309
4310
4311
4312 compareret.CompareResultImage = imagediff;
4313
4314 compareret.BrightnessDiff = briDiff;
4315
4316
4317
4318 compareret.BrightnessBytesImage1 = briary1;
4319
4320 compareret.BrightnessBytesImage2 = briary2;
4321
4322 compareret.BrightnessBytesResult = briaryret;
4323
4324
4325
4326 //保存区域范围
4327
4328 //compareret.DiffAreaTop = areaTop;
4329
4330 //compareret.DiffAreaLeft = areaLeft;
4331
4332 //compareret.DiffAreaRight = areaRight;
4333
4334 //compareret.DiffAreaBottom = areaBottom;
4335
4336 //compareret.CalculateAreaRate();
4337
4338
4339
4340 bl = true;
4341
4342 }
4343
4344 catch (Exception ex)
4345
4346 {
4347
4348 Console.WriteLine("CompareImage error:" + ex.Message);
4349
4350 bl = false;
4351
4352 }
4353
4354
4355
4356 return bl;
4357
4358 }
4359
4360
4361
4362
4363
4364 /// <summary>
4365
4366 /// 2张图片亮度值相减,得到新图片以及亮度值
4367
4368 /// </summary>
4369
4370 /// <param name="image1"></param>
4371
4372 /// <param name="image2"></param>
4373
4374 /// <param name="retimage"></param>
4375
4376 /// <param name="brightnessary"></param>
4377
4378 /// <returns></returns>
4379
4380 public static Boolean SubtractImageBrightness(Bitmap image1, Bitmap image2,
4381
4382 ref Bitmap imagediff, ref Byte[] brightnessary)
4383
4384 {
4385
4386 if (image1 == null || image2 == null)
4387
4388 {
4389
4390 return false;
4391
4392 }
4393
4394
4395
4396 Boolean bl = ResizeImageToSame(ref image1, ref image2);
4397
4398 if (!bl)
4399
4400 {
4401
4402 return false;
4403
4404 }
4405
4406
4407
4408 int width = image1.Width;
4409
4410 int height = image1.Height;
4411
4412
4413
4414 long allpixcnt = height * width;//所有像素点数量
4415
4416
4417
4418 brightnessary = new Byte[allpixcnt];
4419
4420 imagediff = new Bitmap(image1);
4421
4422 Int32 pixidx = 0;//当前像素下标
4423
4424 byte bri1 = 0;
4425
4426 byte bri2 = 0;
4427
4428 BitmapData data1 = null;
4429
4430 BitmapData data2 = null;
4431
4432 BitmapData datadiff = null;
4433
4434 //每行末尾还有这么多的冗余字节
4435
4436 Int32 rowredundancy = 0;
4437
4438
4439
4440 try
4441
4442 {
4443
4444 data1 = image1.LockBits(new Rectangle(0, 0, width, height),
4445
4446 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
4447
4448
4449
4450 data2 = image2.LockBits(new Rectangle(0, 0, width, height),
4451
4452 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
4453
4454
4455
4456 datadiff = imagediff.LockBits(new Rectangle(0, 0, width, height),
4457
4458 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
4459
4460
4461
4462 rowredundancy = datadiff.Stride - width * 3;//每行末尾还有这么多的冗余字节
4463
4464 Byte bridiff = 0;
4465
4466 unsafe
4467
4468 {
4469
4470 byte* curpix1 = (byte*)data1.Scan0.ToPointer();
4471
4472 byte* curpix2 = (byte*)data2.Scan0.ToPointer();
4473
4474 byte* cmpretpix = (byte*)datadiff.Scan0.ToPointer();
4475
4476
4477
4478 for (int y = 0; y < height; y++)
4479
4480 {
4481
4482 for (int x = 0; x < width; x++)
4483
4484 {
4485
4486 bri1 = (byte)((float)(curpix1[0] + curpix1[1] + curpix1[2]) / 3.0f);
4487
4488 bri2 = (byte)((float)(curpix2[0] + curpix2[1] + curpix2[2]) / 3.0f);
4489
4490
4491
4492 bridiff = (bri1 > bri2) ? (Byte)(bri1 - bri2) : (Byte)(bri2 - bri1); //计算当前像素点的亮度值
4493
4494 brightnessary[pixidx] = bridiff;//保存亮度值
4495
4496 ++pixidx;
4497
4498
4499
4500 cmpretpix[0] = bridiff;//把亮度值设置到结果图像里
4501
4502 cmpretpix[1] = bridiff;
4503
4504 cmpretpix[2] = bridiff;
4505
4506
4507
4508 curpix1 += 3;
4509
4510 curpix2 += 3;
4511
4512 cmpretpix += 3;
4513
4514 }
4515
4516 curpix1 += rowredundancy;
4517
4518 curpix2 += rowredundancy;
4519
4520 cmpretpix += rowredundancy;
4521
4522 }
4523
4524 }
4525
4526
4527
4528 image1.UnlockBits(data1);
4529
4530 image2.UnlockBits(data2);
4531
4532 imagediff.UnlockBits(datadiff);
4533
4534 bl = true;
4535
4536 }
4537
4538 catch (Exception ex)
4539
4540 {
4541
4542 Console.WriteLine("CompareImage error:" + ex.Message);
4543
4544 bl = false;
4545
4546 }
4547
4548
4549
4550 return bl;
4551
4552 }
4553
4554
4555
4556 /// <summary>
4557
4558 /// 根据2个图片的亮度值,比较图片的差异部分,并对比较结果的图片执行去噪点处理
4559
4560 /// </summary>
4561
4562 /// <param name="image1"></param>
4563
4564 /// <param name="image2"></param>
4565
4566 /// <param name="bridiff">亮度容差</param>
4567
4568 /// <param name="noisypointsize">噪点边长</param>
4569
4570 /// <param name="imagediff">比较结果的图片</param>
4571
4572 /// <param name="diffary">每个像素是否相同</param>
4573
4574 /// <returns></returns>
4575
4576 public static Boolean CompareImageByBrightness(Bitmap image1, Bitmap image2,
4577
4578 Int32 briDiff, Int32 noisypointsize,
4579
4580 ref Bitmap imagediff, ref Boolean[] diffary)
4581
4582 {
4583
4584 if (image1 == null || image2 == null)
4585
4586 {
4587
4588 return false;
4589
4590 }
4591
4592
4593
4594 Boolean bl = ResizeImageToSame(ref image1, ref image2);
4595
4596 if (!bl)
4597
4598 {
4599
4600 return false;
4601
4602 }
4603
4604
4605
4606 if (briDiff < 1 || briDiff > 255)
4607
4608 {
4609
4610 return false;
4611
4612 }
4613
4614
4615
4616 if (noisypointsize < 1 || noisypointsize * 2 > image1.Height)
4617
4618 {
4619
4620 return false;
4621
4622 }
4623
4624
4625
4626 int width = image1.Width;
4627
4628 int height = image1.Height;
4629
4630
4631
4632 long allpixcnt = height * width;//所有像素点数量
4633
4634
4635
4636 imagediff = new Bitmap(image1);
4637
4638
4639
4640 //每个像素是否相同.1相同,0不同
4641
4642 diffary = new Boolean[width * height];
4643
4644
4645
4646 Int32 pixidx = 0;//当前像素下标
4647
4648 byte bri1 = 0;
4649
4650 byte bri2 = 0;
4651
4652 BitmapData data1 = null;
4653
4654 BitmapData data2 = null;
4655
4656 BitmapData datadiff = null;
4657
4658 //每行末尾还有这么多的冗余字节
4659
4660 Int32 rowredundancy = 0;
4661
4662
4663
4664 try
4665
4666 {
4667
4668 data1 = image1.LockBits(new Rectangle(0, 0, width, height),
4669
4670 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
4671
4672
4673
4674 data2 = image2.LockBits(new Rectangle(0, 0, width, height),
4675
4676 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
4677
4678
4679
4680 datadiff = imagediff.LockBits(new Rectangle(0, 0, width, height),
4681
4682 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
4683
4684
4685
4686 rowredundancy = datadiff.Stride - width * 3;//每行末尾还有这么多的冗余字节
4687
4688
4689
4690 unsafe
4691
4692 {
4693
4694 byte* curpix1 = (byte*)data1.Scan0.ToPointer();
4695
4696 byte* curpix2 = (byte*)data2.Scan0.ToPointer();
4697
4698 byte* cmpretpix = (byte*)datadiff.Scan0.ToPointer();
4699
4700
4701
4702 for (int y = 0; y < height; y++)
4703
4704 {
4705
4706 for (int x = 0; x < width; x++)
4707
4708 {
4709
4710 bri1 = (byte)((float)(curpix1[0] + curpix1[1] + curpix1[2]) / 3.0f);
4711
4712 bri2 = (byte)((float)(curpix2[0] + curpix2[1] + curpix2[2]) / 3.0f);
4713
4714
4715
4716 //比较2个像素亮度值之差,如果有差异,设置图像1里的当前像素为 不同颜色
4717
4718 if (bri1 >= bri2 + briDiff ||
4719
4720 bri2 >= bri1 + briDiff)
4721
4722 {
4723
4724 diffary[pixidx] = true;
4725
4726 cmpretpix[0] = Const_WhiteBrightness;
4727
4728 cmpretpix[1] = Const_WhiteBrightness;
4729
4730 cmpretpix[2] = Const_WhiteBrightness;
4731
4732 }
4733
4734 else
4735
4736 {
4737
4738 diffary[pixidx] = false;
4739
4740 cmpretpix[0] = Const_BlackBrightness;
4741
4742 cmpretpix[1] = Const_BlackBrightness;
4743
4744 cmpretpix[2] = Const_BlackBrightness;
4745
4746 }
4747
4748
4749
4750 ++pixidx;
4751
4752 curpix1 += 3;
4753
4754 curpix2 += 3;
4755
4756 cmpretpix += 3;
4757
4758 }
4759
4760 curpix1 += rowredundancy;
4761
4762 curpix2 += rowredundancy;
4763
4764 cmpretpix += rowredundancy;
4765
4766 }
4767
4768 }
4769
4770
4771
4772 image1.UnlockBits(data1);
4773
4774 image2.UnlockBits(data2);
4775
4776 imagediff.UnlockBits(datadiff);
4777
4778 bl = true;
4779
4780 }
4781
4782 catch (Exception ex)
4783
4784 {
4785
4786 Console.WriteLine("CompareImage error:" + ex.Message);
4787
4788 bl = false;
4789
4790 }
4791
4792
4793
4794 //现在对图像执行去噪点处理
4795
4796 RemoveNoisypoint(noisypointsize, ref imagediff);
4797
4798
4799
4800 //获取去除噪点后各像素亮度
4801
4802 Byte pixbri = 0;//当前像素亮度
4803
4804 pixidx = 0;
4805
4806 try
4807
4808 {
4809
4810 datadiff = imagediff.LockBits(new Rectangle(0, 0, width, height),
4811
4812 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
4813
4814 unsafe
4815
4816 {
4817
4818 byte* cmpretpix = (byte*)datadiff.Scan0.ToPointer();
4819
4820
4821
4822 for (int y = 0; y < height; y++)
4823
4824 {
4825
4826 for (int x = 0; x < width; x++)
4827
4828 {
4829
4830 pixbri = (byte)((float)(cmpretpix[0] + cmpretpix[1] + cmpretpix[2]) / 3.0f);
4831
4832
4833
4834 //去除噪点后,已经变得非黑即白.如果是黑色,表示相同,白色,表示不同
4835
4836 diffary[pixidx] = (pixbri > briDiff);
4837
4838 ++pixidx;
4839
4840 cmpretpix += 3;
4841
4842 }
4843
4844 cmpretpix += rowredundancy;
4845
4846 }
4847
4848 }
4849
4850
4851
4852 imagediff.UnlockBits(datadiff);
4853
4854 bl = true;
4855
4856 }
4857
4858 catch (Exception ex)
4859
4860 {
4861
4862 Console.WriteLine("CompareImage error:" + ex.Message);
4863
4864 bl = false;
4865
4866 }
4867
4868 return bl;
4869
4870 }
4871
4872
4873
4874 /// 根据2个图片的亮度值,比较图片的差异部分
4875
4876 /// </summary>
4877
4878 /// <param name="compareparam"></param>
4879
4880 /// <param name="compareret"></param>
4881
4882 /// <returns></returns>
4883
4884 public static Boolean CompareImageByBrightness(ImageCompareParameter compareparam,
4885
4886 ref ImageCompareResult compareret)
4887
4888 {
4889
4890 Bitmap image1 = compareparam.Image1;
4891
4892 Bitmap image2 = compareparam.Image2;
4893
4894
4895
4896 Byte[] imagebri1 = compareparam.BrightnessBytesImage1;
4897
4898 Byte[] imagebri2 = compareparam.BrightnessBytesImage2;
4899
4900
4901
4902 Int32 briDiff = compareparam.BrightnessDiff;
4903
4904 Color diffColor = compareparam.DifferentAreaFillColor;
4905
4906 Color samecolor = compareparam.SameAreaFillColor;
4907
4908 //是否需要填充相同或不同部分的像素的颜色
4909
4910 Boolean filldiffcolor = (diffColor != Color.Transparent);
4911
4912 Boolean fillsamecolor = (samecolor != Color.Transparent);
4913
4914
4915
4916 Boolean bl = false;
4917
4918
4919
4920 Bitmap imagediff = new Bitmap(image1);
4921
4922
4923
4924 //不同区域的左上下右位置
4925
4926 Int32 areaLeft = imagediff.Width;
4927
4928 Int32 areaTop = imagediff.Height;
4929
4930 Int32 areaRight = -1;
4931
4932 Int32 areaBottom = -1;
4933
4934
4935
4936 int width = image1.Width;
4937
4938 int height = image1.Height;
4939
4940
4941
4942 long allpixcnt = height * width;//所有像素点数量
4943
4944 long diffpixcnt = 0;//不同像素点数量
4945
4946 long samepixcnt = 0;//相同像素点数量
4947
4948
4949
4950 if (imagebri1 == null || imagebri2 == null ||
4951
4952 imagebri2.Length != imagebri2.Length ||
4953
4954 imagebri2.Length != allpixcnt)
4955
4956 {
4957
4958 return false;
4959
4960 }
4961
4962
4963
4964 //3张图片的各像素亮度数组
4965
4966 Int32 briaryidx = 0;
4967
4968 Byte[] briaryret = new Byte[allpixcnt];
4969
4970
4971
4972 Byte diffB = diffColor.B;
4973
4974 Byte diffG = diffColor.G;
4975
4976 Byte diffR = diffColor.R;
4977
4978 Byte sameB = samecolor.B;
4979
4980 Byte sameG = samecolor.G;
4981
4982 Byte sameR = samecolor.R;
4983
4984
4985
4986 Byte samebri = 0;
4987
4988 Byte diffbri = 0;
4989
4990 GetBrightnessByColor(diffColor, eGrayMode.WeightedAverage, ref samebri);
4991
4992 GetBrightnessByColor(diffColor, eGrayMode.WeightedAverage, ref diffbri);
4993
4994
4995
4996 Int32 currowfirstx = 0;//当前行的首个像素的下标
4997
4998 try
4999
5000 {
5001
5002
5003
5004 BitmapData data1 = image1.LockBits(new Rectangle(0, 0, width, height),
5005
5006 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
5007
5008
5009
5010 BitmapData data2 = image2.LockBits(new Rectangle(0, 0, width, height),
5011
5012 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
5013
5014
5015
5016 BitmapData datadiff = imagediff.LockBits(new Rectangle(0, 0, width, height),
5017
5018 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
5019
5020
5021
5022 byte bri1 = 0;
5023
5024 byte bri2 = 0;
5025
5026
5027
5028 //每个像素是否相同.1相同,0不同
5029
5030 compareret.PixIsDifferent = new Boolean[width * height];
5031
5032
5033
5034 //当前像素是否不同
5035
5036 Boolean curpixIsdiff = false;
5037
5038 unsafe
5039
5040 {
5041
5042 byte* curpix1 = (byte*)data1.Scan0.ToPointer();
5043
5044 byte* curpix2 = (byte*)data2.Scan0.ToPointer();
5045
5046 byte* cmpretpix = (byte*)datadiff.Scan0.ToPointer();
5047
5048
5049
5050 for (int y = 0; y < height; y++)
5051
5052 {
5053
5054 currowfirstx = y * width;
5055
5056 for (int x = 0; x < width; x++)
5057
5058 {
5059
5060 bri1 = imagebri1[currowfirstx + x];
5061
5062 bri2 = imagebri2[currowfirstx + x];
5063
5064
5065
5066 //以1作为基准,比较1和2之间的差距,如果超过阀值,认为当前像素有差异
5067
5068 //否则认为当前像素没有差异
5069
5070 curpixIsdiff = false;
5071
5072 if (bri1 >= bri2 + briDiff ||
5073
5074 bri2 >= bri1 + briDiff)
5075
5076 {
5077
5078 curpixIsdiff = true;
5079
5080 }
5081
5082
5083
5084 if (curpixIsdiff) //如果有差异,设置图像1里的当前像素为 不同颜色
5085
5086 {
5087
5088 if (filldiffcolor)
5089
5090 {
5091
5092 cmpretpix[0] = diffB;
5093
5094 cmpretpix[1] = diffG;
5095
5096 cmpretpix[2] = diffR;
5097
5098 }
5099
5100 ++diffpixcnt;
5101
5102
5103
5104 if (x < areaLeft) //记忆最左边的像素位置
5105
5106 {
5107
5108 areaLeft = x;
5109
5110 }
5111
5112 if (x > areaRight) //记忆最右边的像素位置
5113
5114 {
5115
5116 areaRight = x;
5117
5118 }
5119
5120 if (y < areaTop) //记忆最上边的像素位置
5121
5122 {
5123
5124 areaTop = y;
5125
5126 }
5127
5128 if (y > areaBottom) //记忆最下边的像素位置
5129
5130 {
5131
5132 areaBottom = y;
5133
5134 }
5135
5136
5137
5138 //记忆当前像素的比较结果的亮度
5139
5140 briaryret[briaryidx] = diffbri;
5141
5142 }
5143
5144 else //没有差异,设置结果里的当前像素为 相同颜色
5145
5146 {
5147
5148 if (fillsamecolor)
5149
5150 {
5151
5152 cmpretpix[0] = sameB;
5153
5154 cmpretpix[1] = sameG;
5155
5156 cmpretpix[2] = sameR;
5157
5158 }
5159
5160 ++samepixcnt;
5161
5162
5163
5164 //记忆当前像素的比较结果的亮度
5165
5166 briaryret[briaryidx] = samebri;
5167
5168 }
5169
5170
5171
5172 // 比较结果的亮度数组下标
5173
5174 ++briaryidx;
5175
5176
5177
5178 //像素是否不同的标志
5179
5180 compareret.PixIsDifferent[currowfirstx + x] = curpixIsdiff;
5181
5182
5183
5184 curpix1 += 3;
5185
5186 curpix2 += 3;
5187
5188 cmpretpix += 3;
5189
5190 }
5191
5192 curpix1 += data1.Stride - width * 3;
5193
5194 curpix2 += data1.Stride - width * 3;
5195
5196 cmpretpix += datadiff.Stride - width * 3;
5197
5198 }
5199
5200 }
5201
5202
5203
5204 image1.UnlockBits(data1);
5205
5206 image2.UnlockBits(data2);
5207
5208 imagediff.UnlockBits(datadiff);
5209
5210
5211
5212 compareret.RateDifferent = diffpixcnt / (double)allpixcnt;
5213
5214 compareret.RateSame = samepixcnt / (double)allpixcnt;
5215
5216
5217
5218 compareret.CompareResultImage = imagediff;
5219
5220 compareret.BrightnessDiff = briDiff;
5221
5222 compareret.BrightnessBytesResult = briaryret;
5223
5224
5225
5226 bl = true;
5227
5228 }
5229
5230 catch (Exception ex)
5231
5232 {
5233
5234 Console.WriteLine("CompareImage error:" + ex.Message);
5235
5236 bl = false;
5237
5238 }
5239
5240
5241
5242 return bl;
5243
5244 }
5245
5246
5247
5248 /// <summary>
5249
5250 /// 获取一个区域的实际坐标
5251
5252 /// </summary>
5253
5254 /// <param name="area"></param>
5255
5256 /// <param name="width"></param>
5257
5258 /// <param name="height"></param>
5259
5260 /// <param name="x1"></param>
5261
5262 /// <param name="y1"></param>
5263
5264 /// <param name="x2"></param>
5265
5266 /// <param name="y2"></param>
5267
5268 public static void GetAreaPositionInImage(ImageAreaInfo area,
5269
5270 Int32 width, Int32 height,
5271
5272 ref Int32 x1, ref Int32 y1, ref Int32 x2, ref Int32 y2)
5273
5274 {
5275
5276 if (area.PositionType == ePositionType.ByPix)
5277
5278 {
5279
5280 x1 = (Int32)area.X1;
5281
5282 y1 = (Int32)area.Y1;
5283
5284 x2 = (Int32)area.X2;
5285
5286 y2 = (Int32)area.Y2;
5287
5288 }
5289
5290 else
5291
5292 {
5293
5294 x1 = (Int32)(area.X1 * (double)width);
5295
5296 y1 = (Int32)(area.Y1 * (double)height);
5297
5298 x2 = (Int32)(area.X2 * (double)width);
5299
5300 y2 = (Int32)(area.Y2 * (double)height);
5301
5302 }
5303
5304 }
5305
5306
5307
5308 /// <summary>
5309
5310 /// 检查指定区域的图像是否与方案里的指定值一样(都是相同或者不同)
5311
5312 /// </summary>
5313
5314 /// <param name="briDiffary">每个元素对应2张图片的每个像素亮度相同还是不同.true不同,false相同</param>
5315
5316 /// <param name="area"></param>
5317
5318 /// <returns></returns>
5319
5320 public static Boolean ValidateImageArea(Boolean[] briDiffary, ImageAreaInfo area, Int32 width, Int32 height)
5321
5322 {
5323
5324 if (briDiffary == null || briDiffary.Length < 4 || area == null ||
5325
5326 width < 1 || height < 1 || width * height != briDiffary.Length)
5327
5328 {
5329
5330 return false;
5331
5332 }
5333
5334
5335
5336 Int32 x1 = 0;
5337
5338 Int32 x2 = 0;
5339
5340 Int32 y1 = 0;
5341
5342 Int32 y2 = 0;
5343
5344
5345
5346 //获取该区域在图像里的实际坐标范围
5347
5348 GetAreaPositionInImage(area, width, height,
5349
5350 ref x1, ref y1, ref x2, ref y2);
5351
5352
5353
5354 //获取该区域里的像素匹配类型
5355
5356 eAreaDifferentType difftype = eAreaDifferentType.Partial;
5357
5358 Boolean bl = GetImageAreaDifferentType(briDiffary, width, height,
5359
5360 x1, y1, x2, y2, ref difftype);
5361
5362 if (!bl)
5363
5364 {
5365
5366 return false;
5367
5368 }
5369
5370
5371
5372 //如果是期待所有像素都是相同,要求必须每个像素都相同.任何一个不同,就认为失败
5373
5374 if (area.ExpectDispMode == eDrawType.ExpectHide &&
5375
5376 difftype != eAreaDifferentType.AllSame)
5377
5378 {
5379
5380 return false;
5381
5382 }
5383
5384
5385
5386 //如果是期待像素不同,只要有1个像素不同就可以.所有像素都相同,认为失败
5387
5388 if (area.ExpectDispMode == eDrawType.ExpectShow &&
5389
5390 difftype == eAreaDifferentType.AllSame)
5391
5392 {
5393
5394 return false;
5395
5396 }
5397
5398 return true;
5399
5400 }
5401
5402
5403
5404 /// <summary>
5405
5406 /// 检查指定区域的图像是否与方案里的指定值一样(都是相同或者不同)
5407
5408 /// </summary>
5409
5410 /// <param name="pixDiffary"></param>
5411
5412 /// <param name="area"></param>
5413
5414 /// <returns></returns>
5415
5416 public static Boolean ValidateImageArea(Byte[] briDiffary, ImageAreaInfo area, Int32 width, Int32 height)
5417
5418 {
5419
5420
5421
5422 Boolean[] blary = new Boolean[briDiffary.Length];
5423
5424 for (Int32 idx = 0; idx < briDiffary.Length; ++idx)
5425
5426 {
5427
5428 blary[idx] = (briDiffary[idx] > 0);
5429
5430 }
5431
5432
5433
5434 Boolean bl = ValidateImageArea(blary, area, width, height);
5435
5436 return bl;
5437
5438 }
5439
5440
5441
5442 /// <summary>
5443
5444 /// 检查图片的比较结果里,某个区域是否与期待的一致
5445
5446 /// </summary>
5447
5448 /// <param name="compareret"></param>
5449
5450 /// <param name="area"></param>
5451
5452 /// <returns>true-与期待一致;false-不一致</returns>
5453
5454 public static Boolean ValidateImageArea(ImageCompareResult compareret, ImageAreaInfo area)
5455
5456 {
5457
5458 Boolean[] pixDiffary = compareret.PixIsDifferent;
5459
5460
5461
5462 Bitmap tmp = new Bitmap(compareret.CompareResultImage);
5463
5464 Int32 width = tmp.Width;
5465
5466 Int32 height = tmp.Height;
5467
5468 Boolean bl = ValidateImageArea(compareret.PixIsDifferent, area, width, height);
5469
5470
5471
5472 return bl;
5473
5474 }
5475
5476
5477
5478 /// <summary>
5479
5480 /// 获取1个 比较结果里,指定的区域范围,是全都相同,还是不同
5481
5482 /// 只有所有像素都是相同,才认为是整个区域相同
5483
5484 /// 如果有1个像素不同,则认为整个区域不同
5485
5486 /// </summary>
5487
5488 /// <param name="pixDiffary"></param>
5489
5490 /// <param name="width"></param>
5491
5492 /// <param name="height"></param>
5493
5494 /// <param name="startX"></param>
5495
5496 /// <param name="startY"></param>
5497
5498 /// <param name="endX"></param>
5499
5500 /// <param name="endY"></param>
5501
5502 /// <returns> </returns>
5503
5504 public static Boolean GetImageAreaDifferentType(Boolean[] pixDiffary, Int32 width, Int32 height,
5505
5506 Int32 x1, Int32 y1, Int32 x2, Int32 y2, ref eAreaDifferentType difftype)
5507
5508 {
5509
5510 Int32 areawidth = x2 - x1;
5511
5512 Int32 areaheight = y2 - y1;
5513
5514
5515
5516 if (pixDiffary == null || width < 1 || height < 1 ||
5517
5518 areawidth < 1 || areaheight < 1 ||
5519
5520 width < areawidth || height < areaheight ||
5521
5522 pixDiffary.Length < width * height)
5523
5524 {
5525
5526 return false;
5527
5528 }
5529
5530
5531
5532 Boolean allissame = false; //假设所有像素相同
5533
5534 Boolean allisdiff = false; //假设所有像素不同
5535
5536
5537
5538 Int32 currowFirstPix = 0;
5539
5540 for (Int32 y = y1; y <= y2; ++y)
5541
5542 {
5543
5544 currowFirstPix = y * width;
5545
5546 for (Int32 x = x1; x <= x2; ++x)
5547
5548 {
5549
5550 if (pixDiffary[currowFirstPix + x]) //当前像素点不同
5551
5552 {
5553
5554 allisdiff = true;
5555
5556 }
5557
5558 else//当前像素相同
5559
5560 {
5561
5562 allissame = true;
5563
5564 }
5565
5566
5567
5568 //如果已经有部分相同部分不同,退出
5569
5570 if (allisdiff && allissame)
5571
5572 {
5573
5574 difftype = eAreaDifferentType.Partial;
5575
5576 return true;
5577
5578 }
5579
5580 }
5581
5582 }
5583
5584
5585
5586 //现在,所有像素都相同,或都不同
5587
5588 if (allisdiff)
5589
5590 {
5591
5592 difftype = eAreaDifferentType.AllDifferent;
5593
5594 }
5595
5596 else
5597
5598 {
5599
5600 difftype = eAreaDifferentType.AllSame;
5601
5602 }
5603
5604 return true;
5605
5606 }
5607
5608
5609
5610 /// <summary>
5611
5612 /// 根据亮度容差,把图片转换为非黑即白的图片
5613
5614 /// </summary>
5615
5616 /// <param name="briimg"></param>
5617
5618 /// <param name="brigate"></param>
5619
5620 /// <returns></returns>
5621
5622 public static Boolean GetBlackWhiteImage(Bitmap briimg, Byte[] briDiffary, Int32 brigate, ref Bitmap blackwhiteimage)
5623
5624 {
5625
5626 if (briimg == null)
5627
5628 {
5629
5630 return false;
5631
5632 }
5633
5634
5635
5636 int width = briimg.Width;
5637
5638 int height = briimg.Height;
5639
5640
5641
5642 long allpixcnt = height * width;//所有像素点数量
5643
5644
5645
5646 if (briDiffary == null || briDiffary.Length != allpixcnt)
5647
5648 {
5649
5650 return false;
5651
5652 }
5653
5654
5655
5656 blackwhiteimage = new Bitmap(briimg);
5657
5658 Int32 pixidx = 0;//当前像素下标
5659
5660 BitmapData datasrc = null;
5661
5662 BitmapData dataret = null;
5663
5664
5665
5666 //每行末尾还有这么多的冗余字节
5667
5668 Int32 rowredundancy = 0;
5669
5670
5671
5672 Byte curpixBri = 0;//当前的亮度
5673
5674 try
5675
5676 {
5677
5678 datasrc = briimg.LockBits(new Rectangle(0, 0, width, height),
5679
5680 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
5681
5682
5683
5684 dataret = blackwhiteimage.LockBits(new Rectangle(0, 0, width, height),
5685
5686 ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
5687
5688
5689
5690 rowredundancy = datasrc.Stride - width * 3;//每行末尾还有这么多的冗余字节
5691
5692 unsafe
5693
5694 {
5695
5696 byte* pixret = (byte*)dataret.Scan0.ToPointer();
5697
5698
5699
5700 for (int y = 0; y < height; y++)
5701
5702 {
5703
5704 for (int x = 0; x < width; x++)
5705
5706 {
5707
5708 //亮度差值大于门限的,认为是不同部分,用白色填充
5709
5710 curpixBri = (briDiffary[pixidx] > brigate) ? Const_BrightnessWhite : Const_BrightnessBlack;
5711
5712 pixret[0] = curpixBri;//把亮度值设置到结果图像里
5713
5714 pixret[1] = curpixBri;
5715
5716 pixret[2] = curpixBri;
5717
5718 ++pixidx;
5719
5720 pixret += 3;
5721
5722 }
5723
5724 pixret += rowredundancy;
5725
5726 }
5727
5728 }
5729
5730
5731
5732 briimg.UnlockBits(datasrc);
5733
5734 blackwhiteimage.UnlockBits(dataret);
5735
5736 }
5737
5738 catch (Exception ex)
5739
5740 {
5741
5742 Console.WriteLine("GetBlackWhiteImage error:" + ex.Message);
5743
5744 return false;
5745
5746 }
5747
5748
5749
5750 return true;
5751
5752 }
5753
5754 #endregion
5755
5756
5757
5758 #region 内部实现
5759
5760
5761
5762
5763
5764 /// <summary>
5765
5766 /// 比较2个数值之间的差是否大于指定值
5767
5768 /// </summary>
5769
5770 /// <param name="val1"></param>
5771
5772 /// <param name="val2"></param>
5773
5774 /// <param name="diff"></param>
5775
5776 /// <returns>超过指定值返回true;否则返回false</returns>
5777
5778 private static Boolean CheckDiffOver(Int32 val1, Int32 val2, Int32 diff)
5779
5780 {
5781
5782 if (diff < 1)
5783
5784 {
5785
5786 return false;
5787
5788 }
5789
5790 if (val1 > val2 && val1 > val2 + diff)
5791
5792 {
5793
5794 return true;
5795
5796 }
5797
5798 if (val2 > val1 && val2 > val1 + diff)
5799
5800 {
5801
5802 return true;
5803
5804 }
5805
5806 return false;
5807
5808 }
5809
5810 #endregion
5811
5812 }
5813
5814 }