*讀取一張圖像read_image (Image, '原圖.jpg')*獲取圖像大小get_image_size(Image, Width, Height)*關閉已經打開的窗口dev_close_window ()*打開新窗口dev_open_window(0, 0, Width, Height, 'black', WindowHandle)  //打開指定大小的窗口*對圖像進行閾值操作threshold (Image, Region, 0, 50)*對區域進行連通處理connection (Region, ConnectedRegions)*過濾出產品的外輪廓區域select_shape (ConnectedRegions, SelectedRegions, 'ra', 'and', 10, 200)*對輪廓區域進行填充fill_up (SelectedRegions, RegionFillUp)*將區域轉化為最小外接圓shape_trans (SelectedRegions, RegionTrans, 'outer_circle')*通過補集運算獲取產品缺口區域difference (RegionTrans, RegionFillUp, RegionDifference)*對缺口區域進行腐蝕操作erosion_circle (RegionDifference, RegionErosion, 1)*把一個區域轉變為一個二進制字節圖像。region_to_bin (RegionErosion, BinImage, 255, 0, 656, 492)*對圖像進行閾值操作threshold (BinImage, Region1, 255, 255)*對閾值區域連通處理connection (Region1, ConnectedRegions1)*設置輸出對象顯示顏色dev_set_color('blue')*過濾出想要的缺口區域select_shape (ConnectedRegions1, SelectedRegions1, ['ra','rb'], 'and', [5,1], [10,5])*統計出缺口的數目count_obj (SelectedRegions1, Number)*顯示圖像dev_display (Image)*顯示缺陷區域dev_display (SelectedRegions1)