Halcon使用ROI进行区域内较暗区域面积筛选

dev_close_window ()       
read_image (Image, 'C:/Users/PC/Desktop/kakou/7-1.jpg')
get_image_size (Image, Width, Height);
dev_open_window (0, 0, 512, 512, 'black', WindowHandle)

rgb1_to_gray (Image, GrayImage)

gen_rectangle1(GrayImage, 100, 1500, 600, 3500)

reduce_domain(Image, GrayImage, ImageReduced)

*使阈值处理提取出了较暗的区域
threshold (ImageReduced, Region, 0, 195)
*将非连通区域分割成一组区域的集合
connection (Region, ConnectedRegions)
*利用面积特征，将比较大快的区域分割出来
select_shape(ConnectedRegions,selectRegion,'area','and',180000,250000)
*求最小外接矩形
smallest_rectangle2 (selectRegion, Row1, Column1, Phi, Length1, Length2)
*根据矩形参数创建举行的轮廓
gen_rectangle2_contour_xld (Snowcity, Row1, Column1, Phi, Length1, Length2)
*显示最小外接矩形

dev_set_window (WindowHandle)
dev_set_draw ('margin')
dev_set_line_width (3)
dev_display (Image)
dev_display (Snowcity)


也可以使用矩形ROI的方式进行处理，这个是初版仅供大家参考。