C++ 彩色图像(RGB)三通道直方图计算和绘制，图像逆时针旋转90° 实现代码 

  1 #include "iostream"
  2 #include "opencv2/opencv.hpp"
  3 #include "vector"
  4 
  5 using namespace std;
  6 using namespace cv;
  7 
  8 /*计算真彩色图像的直方图*/
  9 void splitRgbImgPro(const Mat img, vector<Mat>& imgRGB);
 10 void calImgHistPro(vector<Mat> imgrgb, vector<vector<int>>& histData);
 11 void showImgHistPro(vector<vector<int>>& histD);
 12 void rotateImgPro(Mat& img, float angle);
 13 int main()
 14 {
 15     Mat imgSrc = imread("E:\\VideoPlateRecog\\ETC\\1008\\SRC\\144.bmp");
 16     /*色彩空间分离*/    
 17     vector<Mat> imgRGB;
 18     splitRgbImgPro(imgSrc, imgRGB);
 19     /*计算三通道直方图*/
 20     vector<vector<int>> histData;
 21     calImgHistPro(imgRGB, histData);
 22     /*绘制三通道直方图*/
 23     showImgHistPro(histData);
 24     
 25     system("pause");
 26     return 0;
 27 }
 28 
 29 void calImgHistPro(vector<Mat> imgrgb,vector<vector<int>>& histData)
 30 {
 31     vector<Mat> imgrgbSrc = imgrgb;
 32     int width = imgrgb[0].cols;
 33     int height = imgrgb[0].rows;
 34     for (int n = 0; n < imgrgb.size(); n++)
 35     {
 36         Mat imgSrc = imgrgbSrc[n].clone();        
 37         int img_sum = -1;
 38         vector<int> p(256);
 39         for (int m = 0; m <p.size() ; m++)
 40         {
 41             p[m] = 0;
 42         }
 43         for (int i = 0; i < height; i++)
 44         {
 45             uchar* ptr = imgSrc.ptr<uchar>(i);
 46             for (int j = 0; j < width; j++)
 47             {
 48                 int k = ptr[j];
 49                 p[k]++;
 50             }    
 51         }
 52         /*find max element of vector*/
 53         for (auto it = p.begin(); it != p.end(); it++)
 54         {
 55             if (*it > img_sum)
 56             {
 57                 img_sum = *it;
 58             }
 59         }
 60         for (int m = 0; m < 256; m++)
 61         {
 62             p[m] = p[m]*255 / img_sum;
 63         }
 64         histData.push_back(p);
 65     }
 66 }
 67 
 68 void showImgHistPro(vector<vector<int>>& histD)
 69 {
 70     vector<vector<int>> histSrc=histD;
 71     int cols = histD[0].size();
 72     int rows = -1;
 73     Mat histRGB(cols , cols * 3, CV_8UC1, Scalar(0));
 74     for (int n = 0; n < histD.size(); n++)
 75     {
 76         vector<int> hist = histD[n];            
 77         Mat histImg(cols, cols, CV_8UC1, Scalar(0));
 78         for (int i = 0; i < cols; i++)
 79         {
 80             uchar* ptr = histImg.ptr(i);        
 81             for (int j = 0; j < hist[i]; j++)
 82             {                
 83                 ptr[j] = 255;
 84             }        
 85         }    
 86         /*旋转90°*/
 87         Mat histImg1(cols, cols, CV_8UC1, Scalar(0));
 88         for (int l = 0; l < cols; l++)
 89         {            
 90             for (int k = 0; k < cols; k++)
 91             {
 92                 histImg1.at<uchar>(l, k) = histImg.at<uchar>(k, cols-l-1);
 93             }
 94         }        
 95         histImg1.copyTo(histRGB(Rect(cols*n,0, cols, cols)));
 96     }
 97     imshow("Img_R_G_B", histRGB);
 98     waitKey(0);
 99 }
100 
101 void rotateImgPro(Mat& img,float angle)
102 {
103     Mat retMat(img.cols, img.rows, CV_8UC1, Scalar(0));
104     float anglePI = (float)(angle*CV_PI / 180);
105     int xSm, ySm;
106     for (int i = 0; i < retMat.rows; i++)
107     {
108         for (int j = 0; j < retMat.cols; j++)
109         {
110             xSm = (int)((i - retMat.rows / 2)*cos(anglePI) - 
111                 (j - retMat.cols / 2)*sin(anglePI) + 0.5);
112             ySm = (int)((i - retMat.rows / 2)*sin(anglePI) + 
113                 (j - retMat.cols / 2)*cos(anglePI) + 0.5);            
114                 retMat.at<uchar>(i, j) = img.at<uchar>(xSm, ySm);    
115             
116         }
117     }
118 }
119 
120 
121  
122 
123 void splitRgbImgPro(const Mat img, vector<Mat>& imgRGB)
124 {    
125     Mat imgSrc = img.clone();
126     int width = imgSrc.rows;
127     int height = imgSrc.cols;
128     Mat imgR(width, height, CV_8UC1);
129     Mat imgG(width, height, CV_8UC1);
130     Mat imgB(width, height, CV_8UC1);
131     for (int i = 0; i < width; i++)
132     {
133         Vec3b* imgPtr = imgSrc.ptr<Vec3b>(i);
134         uchar* imgSPtr = imgSrc.ptr<uchar>(i);
135         uchar* imgRPtr = imgR.ptr<uchar>(i);
136         uchar* imgGPtr = imgG.ptr<uchar>(i);
137         uchar* imgBPtr = imgB.ptr<uchar>(i);
138         for (int j = 0; j < height; j++)
139         {
140             imgRPtr[j] = imgSPtr[0];
141             imgGPtr[j] = imgSPtr[1];
142             imgBPtr[j] = imgSPtr[2];
143             imgSPtr += 3;            
144         }
145     }
146     imgRGB.push_back(imgR);
147     imgRGB.push_back(imgG);
148     imgRGB.push_back(imgB);
149 }

 

posted @ 2019-11-03 16:45  我们都是大好青年  阅读(1890)  评论(0)    收藏  举报