75.第三题

• Image Acquisition 01: Code generated by Image Acquisition 01
  list_files ('E:/机器视觉AI+C#+Halcon/75第二题', ['files','follow_links','recursive'], ImageFiles)
  tuple_regexp_select (ImageFiles, ['\.(tif|tiff|gif|bmp|jpg|jpeg|jp2|png|pcx|pgm|ppm|pbm|xwd|ima|hobj)$','ignore_case'], ImageFiles)
  for Index := 0 to |ImageFiles| - 1 by 1
  read_image (Image, ImageFiles[Index])
  *图像分割
  binary_threshold (Image, Region, 'max_separability', 'dark', UsedThreshold)
  *填充
  fill_up (Region, RegionFillUp)
  *开运算
  opening_circle (RegionFillUp, RegionOpening, 5.5)
  *选择最大的
  connection (RegionOpening, ConnectedRegions)
  select_shape_std (ConnectedRegions, SelectedRegions, 'max_area', 70)
  *抠图
  reduce_domain (Image, SelectedRegions, ImageReduced)
  *再分割 选择白色的
  binary_threshold (ImageReduced, Region1, 'max_separability', 'light', UsedThreshold1)
  opening_circle (Region1, RegionOpening, 1)
  *缝补闭合区域
  closing_circle (RegionOpening, RegionClosing, 3.5)
  connection (RegionClosing, ConnectedRegions1)
  *选择最大的
  select_shape_std (ConnectedRegions1, SelectedRegions1, 'max_area', 70)
  shape_trans (SelectedRegions1, RegionTrans, 'rectangle2')
  *获取边缘像素
  reduce_domain (ImageReduced, RegionTrans, ImageReduced1)
  binary_threshold (ImageReduced1, Region2, 'max_separability', 'light', UsedThreshold2)
  opening_circle (Region2, RegionOpening1, 3.5)
  connection (RegionOpening1, ConnectedRegions2)
  *数一下数量
  count_obj (ConnectedRegions2, Number)

  dev_get_window (WindowHandle)
  if(Number<3)
  disp_message (WindowHandle, 'NG', 'Image', 12, 12, 'black', 'true')
  endif

endfor