halcon 产品周围缺口检测

缺口检测"/>

halcon 产品周围缺口检测

    *读取一张图像read_image (Image, '原图.jpg')*获取图像大小get_image_size(Image, Width, Height)*关闭已经打开的窗口dev_close_window ()*打开新窗口dev_open_window(0, 0, Width, Height, 'black', WindowHandle)  //打开指定大小的窗口*对图像进行阈值操作threshold (Image, Region, 0, 50)*对区域进行连通处理connection (Region, ConnectedRegions)*过滤出产品的外轮廓区域select_shape (ConnectedRegions, SelectedRegions, 'ra', 'and', 10, 200)*对轮廓区域进行填充fill_up (SelectedRegions, RegionFillUp)*将区域转化为最小外接圆shape_trans (SelectedRegions, RegionTrans, 'outer_circle')*通过补集运算获取产品缺口区域difference (RegionTrans, RegionFillUp, RegionDifference)*对缺口区域进行腐蚀操作erosion_circle (RegionDifference, RegionErosion, 1)*把一个区域转变为一个二进制字节图像。region_to_bin (RegionErosion, BinImage, 255, 0, 656, 492)*对图像进行阈值操作threshold (BinImage, Region1, 255, 255)*对阈值区域连通处理connection (Region1, ConnectedRegions1)*设置输出对象显示颜色dev_set_color('blue')*过滤出想要的缺口区域select_shape (ConnectedRegions1, SelectedRegions1, ['ra','rb'], 'and', [5,1], [10,5])*统计出缺口的数目count_obj (SelectedRegions1, Number)*显示图像dev_display (Image)*显示缺陷区域dev_display (SelectedRegions1)