HALCON之喷码OCR识别案例

 1 read_image (Image, ‘D:/用户目录/Desktop/2.png‘)
 2    
 3 rgb1_to_gray(Image, Image)
 4    
 5 get_image_size (Image, Width, Height)
 6    
 7 * 获取喷码区域的方法很多 比如可以用mean+dyn的动态阈值
 8 dots_image (Image, DotImage, 5, ‘dark‘, 2)
 9 threshold (DotImage, Region, 30, 255)
10    
11 *这里是形态学运算操作 目的就是要将单体字符连在一起
12 *这里面用到的自定义核大家可以学习一下
13 closing_rectangle1 (Region, RegionClosing1, 1, 7)
14 closing_rectangle1 (RegionClosing1, RegionClosing2, 7, 1)
15 gen_rectangle2 (Rectangle, 10, 10, rad(45), 3, 0)
16 closing (RegionClosing2, Rectangle, RegionClosing3)
17 gen_rectangle2 (Rectangle, 10, 10, rad(135), 3, 0)
18 closing (RegionClosing3, Rectangle, RegionClosing4)
19 connection (RegionClosing4, ConnectedRegions)
20 select_shape (ConnectedRegions, SelectedRegions, [‘area‘,‘height‘], ‘and‘, [100,50], [1000,70])
21    
22    
23 *排序为下步识别做准备
24 sort_region(SelectedRegions, SortedRegions, ‘character‘, ‘true‘, ‘column‘)
25 area_center(SortedRegions, Area, Row, Column)
26    
27    
28 *识别阶段
29 FontName:=‘DotPrint.omc‘
30 read_ocr_class_mlp(FontName, OCRHandle)
31 do_ocr_multi_class_mlp (SortedRegions, Image, OCRHandle, RecNum, Confidence)
32    
33 set_display_font (3600, 27, ‘mono‘, ‘true‘, ‘false‘)
34 for i := 0 to |RecNum| - 1 by 1
35     disp_message (3600, RecNum[i], ‘image‘, 200,Column[i], ‘green‘, ‘false‘)
36 endfor
37 clear_ocr_class_mlp (OCRHandle)
38