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关于显示类函数解释 read_image (Image, ‘ocr/chars_tra…HALCON示例程序train_characters_ocr.hdev使用SVM分类器训练字体
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示例程序源码加注释
蓝色字体均为算子解释链接可以前往查看解答
关于显示类函数解释 read_image (Image, ‘ocr/chars_training_01.png’)获取单通道图像的指针 get_image_pointer1 (Image, Pointer, Type, Width, Height) dev_close_window () dev_open_window (0, 0, Width, Height, ‘white’, WindowHandle) set_display_font (WindowHandle, 12, ‘mono’, ‘true’, ‘false’) dev_set_draw (‘margin’) dev_set_line_width (2) dev_display (Image) dev_update_window (‘off’) dev_update_pc (‘off’) dev_update_var (‘off’)创建一个 SVM 分类器内容从A-G ClassNames : [‘A’,‘B’,‘C’,‘D’,‘E’,‘F’,‘G’]创建OCR分类器 create_ocr_class_svm (8, 10, ‘constant’, [‘convexity’,‘num_holes’,‘projection_horizontal’,‘projection_vertical’], ClassNames, ‘rbf’, 0.02, 0.05, ‘one-versus-one’, ‘normalization’, 10, OCRHandle)
for i : 1 to 7 by 1 read_image (Image, ‘ocr/chars_training_’ i$’.2d’) dev_display (Image) * halcon自定义函数大括号内为其代码 get_regions (Image, SortedRegions) { dev_set_color (‘white’)
二值化 threshold (Image, Region, 0, 125)分割连通域 connection (Region, ConnectedRegions)通过面积筛选区域 select_shape (ConnectedRegions, SelectedRegions, ‘area’, ‘and’, 50, 999999)对区域进行排序 sort_region (SelectedRegions, SortedRegions, ‘character’, ‘true’, ‘row’) return () } 对元素进行计数 count_obj (SortedRegions, NumberObjects) for j : 1 to NumberObjects by 1选取数组内指定元素 select_obj (SortedRegions, ObjectSelected, j) if (i 1 and j 1) 将训练字符储存到指定文件 write_ocr_trainf (ObjectSelected, Image, ClassNames[j - 1], ‘train_characters_ocr.trf’) else向训练文件中添加对象 append_ocr_trainf (ObjectSelected, Image, ClassNames[j - 1], ‘train_characters_ocr.trf’) endif dev_set_color (‘gray’) dev_display (ObjectSelected) disp_message (WindowHandle, ClassNames[j - 1], ‘window’, 10, 10 (j * 20), ‘black’, ‘true’) endfor disp_continue_message (WindowHandle, ‘black’, ‘true’) stop () endfor 读训练文件并转化为图像 read_ocr_trainf (Characters, ‘train_characters_ocr.trf’, CharacterNames) count_obj (Characters, NumberCharacters)
for i : 1 to NumberCharacters by 1 select_obj (Characters, CharacterSelected, i) dev_clear_window () dev_display (CharacterSelected) disp_message (WindowHandle, CharacterNames[i - 1], ‘window’, 10, 10, ‘black’, ‘true’) endfor
训练OCR分类器 trainf_ocr_class_svm (OCRHandle, ‘train_characters_ocr.trf’, 0.001, ‘default’)缩减SVM分类器以减少分类所用时间。 reduce_ocr_class_svm (OCRHandle, ‘bottom_up’, 2, 0.001, OCRHandleReduced)将训练出的分类器写入文件 write_ocr_class_svm (OCRHandleReduced, ‘font_characters_ocr’)清除OCR分类器 clear_ocr_class_svm (OCRHandle) clear_ocr_class_svm (OCRHandleReduced) stop () dev_clear_window () disp_message (WindowHandle, ‘No more lines to execute’, ‘window’, 10, 10, ‘black’, ‘true’)
处理思路
这个例子是主要讲解了如何使用SVM分类器进行OCR字符训练。
后记
大家有什么问题可以向我提问哈我看到了第一时间回复希望在学习的路上多多结交良师益友。
