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Halcon 凹坑检测案例

news 2025/8/25 11:57:23

* 使用元组的方法
ImageFile:=[]
ImageFile[0]:='D:/Halcon/产品上的凹坑检测/1.bmp'
ImageFile[1]:='D:/Halcon/产品上的凹坑检测/2.bmp'
for Index := 0 to |ImageFile|-1 by 1read_image (Image, ImageFile[Index])* 二值化threshold (Image, Region, 100, 255)* 连通性connection (Region, ConnectedRegions)* 筛选select_shape (ConnectedRegions, SelectedRegions, 'area', 'and', 40000, 99999)* 裁剪reduce_domain (Image, SelectedRegions, ImageReduced)* 高斯卷积(平滑)derivate_gauss (ImageReduced, DerivGauss, 1.5, 'gradient')* 二值化threshold (DerivGauss, Region1, 9, 50)* 连通性connection (Region1, ConnectedRegions1)* 筛选最大的轮廓区域select_shape_std (ConnectedRegions1, SelectedRegions1, 'max_area', 70)* 填充区域fill_up (SelectedRegions1, RegionFillUp)* 计算轮廓区与填充区的补集difference (RegionFillUp, SelectedRegions1, RegionDifference)* 连通性connection (RegionDifference, ConnectedRegions2)* 筛选select_shape (ConnectedRegions2, SelectedRegions2, 'area', 'and', 100, 500)* 区域轮廓线gen_contour_region_xld (SelectedRegions2, Contours, 'border')dev_display (Image)dev_display (Contours)stop()
endfor