一个喷码识别的案例
read_image (Image, 'D:/用户目录/Desktop/2.png') rgb1_to_gray(Image, Image) get_image_size (Image, Width, Height) * 获取喷码区域的方法很多 比如可以用mean+dyn的动态阈值 dots_image (Image, DotImage, 5, 'dark', 2) threshold (DotImage, Region, 30, 255) *这里是形态学运算操作 目的就是要将单体字符连在一起 *这里面用到的自定义核大家可以学习一下 closing_rectangle1 (Region, RegionClosing1, 1, 7) closing_rectangle1 (RegionClosing1, RegionClosing2, 7, 1) gen_rectangle2 (Rectangle, 10, 10, rad(45), 3, 0) closing (RegionClosing2, Rectangle, RegionClosing3) gen_rectangle2 (Rectangle, 10, 10, rad(135), 3, 0) closing (RegionClosing3, Rectangle, RegionClosing4) connection (RegionClosing4, ConnectedRegions) select_shape (ConnectedRegions, SelectedRegions, ['area','height'], 'and', [100,50], [1000,70]) *排序为下步识别做准备 sort_region(SelectedRegions, SortedRegions, 'character', 'true', 'column') area_center(SortedRegions, Area, Row, Column) *识别阶段 FontName:='DotPrint.omc' read_ocr_class_mlp(FontName, OCRHandle) do_ocr_multi_class_mlp (SortedRegions, Image, OCRHandle, RecNum, Confidence) set_display_font (3600, 27, 'mono', 'true', 'false') for i := 0 to |RecNum| - 1 by 1 disp_message (3600, RecNum[i], 'image', 200,Column[i], 'green', 'false') endfor clear_ocr_class_mlp (OCRHandle)
halcon 的 DtoPrint 预设分类器不支持小写 ，可以使用Industrial.omc ， 也可以自己训练