CodeRecognition
/
CodeRecognition_0518Train.hdev

<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.0" halcon_version="10.0" cs="932668346">
<procedure name="main">
<interface/>
<body>
<l>read_image (Image, 'D:/实习/图片/pic/2017.05.18/C1/C1_500.bmp')</l>
<l>emphasize (Image, ImageEmphasize0, 7, 7, 5)</l>
<l>invert_image (ImageEmphasize0, ImageInvert0)</l>
<l>*mean_image (ImageInvert, ImageMean, 5, 5)</l>
<l>*dyn_threshold (ImageInvert, ImageMean, Region, 80, 'light')</l>
<l>threshold (ImageInvert0, Region0, 150, 255)</l>
<l>closing_circle (Region0, RegionClosing0, 10)</l>
<l>connection (RegionClosing0, ConnectedRegions0)</l>
<l>select_shape (ConnectedRegions0, SelectedRegions0, ['width','height'], 'and', [40,30], [180,140])</l>
<l>select_shape_std (SelectedRegions0, SelectedRegionsStd0, 'max_area', 70)</l>
<l>intersection (SelectedRegionsStd0, Region0, RegionIntersection0)</l>
<c>*旋转图像</c>
<l>smallest_rectangle2 (RegionIntersection0, Row0, Column0, Phi0, Length01, Length02)</l>
<l>tuple_deg (Phi0, Deg0)</l>
<l>rotate_image (Image, ImageRotate0, -Deg0-1.5, 'constant')</l>
<c>*处理旋转后的图像</c>
<l>emphasize (ImageRotate0, ImageEmphasize01, 7, 7, 5)</l>
<l>invert_image (ImageEmphasize01, ImageInvert01)</l>
<l>*mean_image (ImageRotate, ImageMean, 3, 3)</l>
<l>*dyn_threshold (ImageInvert, ImageMean, Region, 30, 'light')</l>
<l>threshold (ImageInvert01, Region01, 140, 255)</l>
<l>closing_circle (Region01, RegionClosing01, 10)</l>
<l>opening_circle (RegionClosing01, RegionOpening01, 5)</l>
<l>connection (RegionOpening01, ConnectedRegions01)</l>
<l>select_shape (ConnectedRegions01, SelectedRegions01, ['width','height'], 'and', [40,30], [160,110])</l>
<l>intersection (SelectedRegions01, Region01, RegionIntersection01)</l>
<l>smallest_rectangle2 (RegionIntersection01, Row01, Column01, Phi01, Length011, Length012)</l>
<l>RegionPriorWidth:=58</l>
<l>RegionPriorHeight:=28</l>
<c>*62,28</c>
<l>gen_rectangle2 (Rectangle01, Row01-1, Column01-2, 0, Length011+4, Length012)</l>
<c>*缩小区域</c>
<l>reduce_domain (ImageInvert01, Rectangle01, ImageReduced01)</l>
<l>median_image (ImageReduced01, ImageMedian01, 'circle', 2, 'mirrored')</l>
<l>threshold (ImageMedian01, Region02, 60, 255)</l>
<l>closing_rectangle1 (Region02, RegionClosing02, 30, 1)</l>
<l>*opening_rectangle1 (RegionClosing02, RegionOpening02, 3, 3)</l>
<l>connection (RegionClosing02, ConnectedRegions02)</l>
<c>*第一行****************************</c>
<l>select_shape (ConnectedRegions02, SelectedRegions1, ['width','height','row'], 'and', [40,15,212], [160,35,236])</l>
<l>intersection (SelectedRegions1, Region02, RegionIntersection1)</l>
<l>closing_rectangle1 (RegionIntersection1, RegionClosing1, 2, 50)</l>
<l>connection (RegionClosing1, ConnectedRegions1)</l>
<l>shape_trans (ConnectedRegions1, RegionTrans1, 'rectangle1')</l>
<l>partition_rectangle (RegionTrans1, Partitioned1, 12, 32)</l>
<l>select_shape (Partitioned1, SelectedRegions1, ['area','width','height'], 'and', [100,6,18], [550,20,40])</l>
<l>intersection (SelectedRegions1, Region02, RegionIntersection11)</l>
<c>*选中字符</c>
<c>*排序</c>
<l>sort_region (RegionIntersection11, SortedRegions1, 'first_point', 'true', 'column')</l>
<c>*第二行***********************</c>
<l>select_shape (ConnectedRegions02, SelectedRegions2, ['width','height','row'], 'and', [40,15,243], [160,35,264])</l>
<l>intersection (SelectedRegions2, Region02, RegionIntersection2)</l>
<l>closing_rectangle1 (RegionIntersection2, RegionClosing2, 2, 50)</l>
<l>connection (RegionClosing2, ConnectedRegions2)</l>
<l>shape_trans (ConnectedRegions2, RegionTrans2, 'rectangle1')</l>
<l>partition_rectangle (RegionTrans2, Partitioned2, 12, 32)</l>
<l>select_shape (Partitioned2, SelectedRegions2, ['area','width','height'], 'and', [100,6,18], [550,20,40])</l>
<l>intersection (SelectedRegions2, Region02, RegionIntersection21)</l>
<c>*选中字符</c>
<c>*排序</c>
<l>sort_region (RegionIntersection21, SortedRegions2, 'first_point', 'true', 'column')</l>
<c>*训练**************</c>
<l>count_obj (SortedRegions1, Number1)</l>
<l>count_obj (SortedRegions2, Number2) </l>
<c>*创建训练文件******</c>
<l>words1:=['2','0','1','7','0','5','1','8']</l>
<l>words2:=['5','6','4','1','4','0', '6']</l>
<l>TrainFile:='D:/github/CodeRecognition/0518Words.trf'</l>
<l>dev_set_check('~give_error') </l>
<l>delete_file(TrainFile) </l>
<l>dev_set_check('~give_error')</l>
<l>for i:=1 to Number1 by 1 </l>
<l>    select_obj(SortedRegions1, SingleWord, i) </l>
<l>    append_ocr_trainf(SingleWord,ImageRotate0,words1[i-1],TrainFile) </l>
<l>endfor</l>
<l>for i:=1 to Number2 by 1 </l>
<l>    select_obj(SortedRegions2, SingleWord, i) </l>
<l>    append_ocr_trainf(SingleWord,ImageRotate0,words2[i-1],TrainFile) </l>
<l>endfor</l>
<c>*训练ocr</c>
<l>FontFile:='D:/github/CodeRecognition/0518Words.omc'</l>
<l>read_ocr_trainf_names(TrainFile, CharacterNames, CharacterCount)</l>
<l>NumHidden:=400</l>
<l>*create_ocr_class_mlp (10, 20, 'constant', 'default', CharacterNames, NumHidden, 'none', 10, 42, OCRHandle)</l>
<l>read_ocr_class_mlp(FontFile, OCRHandle)</l>
<l>trainf_ocr_class_mlp (OCRHandle, TrainFile, 200, 1, 0.01, Error, ErrorLog)</l>
<l>write_ocr_class_mlp(OCRHandle, FontFile) </l>
<l>clear_ocr_class_mlp(OCRHandle)</l>
</body>
<docu id="main">
<parameters/>
</docu>
</procedure>
</hdevelop>