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【机械视觉】Halcon—【十一、车牌检测和筛子检测】

news 来源：原创 2025/6/7 11:55:41

【机械视觉】Halcon—【十一、车牌检测和筛子检测】

车牌检测

图片:

第一步：阈值分割+剪切车牌

第二步: 进行仿射变换

第三步: 阈值分割提取字符

第四步: 对车牌号进行拆分并按照顺序拼装

车牌检测完整代码

筛子检测

图片：

项目实例：

车牌检测

图片:

第一步：阈值分割+剪切车牌

*********阈值分割+剪切****************
threshold (GrayImage, Region, 76, 100)
connection (Region, ConnectedRegions)
select_shape (ConnectedRegions, SelectedRegions, 'area', 'and', 8000, 99999)
shape_trans (SelectedRegions, RegionTrans, 'rectangle2')
reduce_domain (GrayImage, RegionTrans, ImageReduced)
crop_domain (ImageReduced, ImagePart)

第二步: 进行仿射变换

**********仿射变换**********
area_center (Image, Area, Row, Column)
hom_mat2d_identity (HomMat2DIdentity)
hom_mat2d_rotate (HomMat2DIdentity, rad(-5), Row, Column, HomMat2DRotate)
hom_mat2d_slant (HomMat2DRotate,rad(15), 'x', Row, Column, HomMat2DSlant)
affine_trans_image (ImagePart, ImageAffineTrans, HomMat2DRotate, 'constant', 'false')
affine_trans_image (ImageAffineTrans, ImageAffineTrans1, HomMat2DSlant, 'constant', 'false')

第三步: 阈值分割提取字符

**********阈值分割************(将车牌上的字符提取出来)
threshold (ImageAffineTrans1, Region1, 172, 255)
opening_circle (Region1, RegionOpening, 1.5)
connection (RegionOpening, ConnectedRegions1)
select_shape (ConnectedRegions1, SelectedRegions1, 'area', 'and', 20, 99999)

第四步: 对车牌号进行拆分并按照顺序拼装

************对车牌号进行拆分************
select_obj (SelectedRegions1, N, 1)
select_obj (SelectedRegions1, i8,2)
select_obj (SelectedRegions1, i2,3)
select_obj (SelectedRegions1, E,4)
select_obj (SelectedRegions1, C,5)
select_obj (SelectedRegions1, i6,6)
select_obj (SelectedRegions1, su1,7)
select_obj (SelectedRegions1, su2,8)
select_obj (SelectedRegions1, su3,9)***********对车牌号进行拼装***********
gen_empty_obj (NumNames)  // 创建一个空的对象NumNames
* 苏
union2 (su1, su2, RegionUnion)
union2 (RegionUnion, su3, Su)
* E
concat_obj (Su, E, NumNames)
*C
concat_obj (NumNames, C, NumNames)
*6 
concat_obj (NumNames, i6, NumNames)
*2
concat_obj (NumNames, i2, NumNames)
*N
concat_obj (NumNames, N, NumNames)
*8
concat_obj (NumNames, i8, NumNames)  // NumNames 就是组装好的图像，可根据索引对每一个字符进行查询dev_open_window (Row, Column, 512, 512, 'black', WindowHandle)
dev_display (NumNames)

车牌检测完整代码

dev_close_window ()
dev_update_off ()
read_image (Image, '1')
rgb1_to_gray (Image, GrayImage)*********阈值分割+剪切****************
threshold (GrayImage, Region, 76, 100)
connection (Region, ConnectedRegions)
select_shape (ConnectedRegions, SelectedRegions, 'area', 'and', 8000, 99999)
shape_trans (SelectedRegions, RegionTrans, 'rectangle2')
reduce_domain (GrayImage, RegionTrans, ImageReduced)
crop_domain (ImageReduced, ImagePart)**********仿射变换**********
area_center (Image, Area, Row, Column)
hom_mat2d_identity (HomMat2DIdentity)
hom_mat2d_rotate (HomMat2DIdentity, rad(-5), Row, Column, HomMat2DRotate)
hom_mat2d_slant (HomMat2DRotate,rad(15), 'x', Row, Column, HomMat2DSlant)
affine_trans_image (ImagePart, ImageAffineTrans, HomMat2DRotate, 'constant', 'false')
affine_trans_image (ImageAffineTrans, ImageAffineTrans1, HomMat2DSlant, 'constant', 'false')**********阈值分割************(将车牌上的字符提取出来)
threshold (ImageAffineTrans1, Region1, 172, 255)
opening_circle (Region1, RegionOpening, 1.5)
connection (RegionOpening, ConnectedRegions1)
select_shape (ConnectedRegions1, SelectedRegions1, 'area', 'and', 20, 99999)************对车牌号进行拆分************
select_obj (SelectedRegions1, N, 1)
select_obj (SelectedRegions1, i8,2)
select_obj (SelectedRegions1, i2,3)
select_obj (SelectedRegions1, E,4)
select_obj (SelectedRegions1, C,5)
select_obj (SelectedRegions1, i6,6)
select_obj (SelectedRegions1, su1,7)
select_obj (SelectedRegions1, su2,8)
select_obj (SelectedRegions1, su3,9)***********对车牌号进行拼装***********
gen_empty_obj (NumNames)  // 创建一个空的对象NumNames
* 苏
union2 (su1, su2, RegionUnion)
union2 (RegionUnion, su3, Su)
* E
concat_obj (Su, E, NumNames)
*C
concat_obj (NumNames, C, NumNames)
*6 
concat_obj (NumNames, i6, NumNames)
*2
concat_obj (NumNames, i2, NumNames)
*N
concat_obj (NumNames, N, NumNames)
*8
concat_obj (NumNames, i8, NumNames)  // NumNames 就是组装好的图像，可根据索引对每一个字符进行查询dev_open_window (Row, Column, 512, 512, 'black', WindowHandle)
dev_display (NumNames)* tuple_regexp_select (numbers, '^[京津冀晋蒙辽吉黑沪苏浙皖闽赣鲁豫鄂湘粤桂琼渝川贵云藏陕甘青宁新港澳台][A-HJ-NP-Z][A-Z0-9]{4,5}[A-Z0-9挂学警港澳]$', Selection1)

筛子检测

图片：

项目实例：

dev_close_window ()
dev_update_off ()
read_image (Image, '筛子')
threshold (Image, Region, 40, 160)
connection (Region, ConnectedRegions)
select_shape (ConnectedRegions, SelectedRegions, 'area', 'and', 600, 3000)
count_obj (SelectedRegions, Number)dev_open_window (0, 0, 512, 512, 'black', WindowHandle)
dev_display (SelectedRegions)
dev_disp_text ('筛子点数:'+Number, 'window', 'top', 'left', 'black', [], [])