Halcon车牌

代码

read_image(image,'C:/Users/DELL/Desktop/2.jpg')
*分通道，分成三通道
decompose3 (image, r, g, b)
*阈值分割
threshold (r, Regions, 0, 19)
connection (Regions, ConnectedRegions)
*选择区域
select_shape (ConnectedRegions, SelectedRegions, 'area', 'and', 1576.99, 10890.5)
*填充
fill_up (SelectedRegions, RegionFillUp)
*转变成矩形
shape_trans (RegionFillUp, RegionTrans, 'rectangle2')
*得到他的角度
orientation_region (RegionTrans, Phi)
*得到他的坐标与面积
area_center (RegionTrans, Area, Row, Column)
*仿射变换
vector_angle_to_rigid (Row, Column, Phi, Row, Column, 0, HomMat2D)
affine_trans_region (RegionTrans, RegionAffineTrans, HomMat2D, 'nearest_neighbor')
affine_trans_image (image, ImageAffineTrans, HomMat2D, 'constant', 'false')
*得到仿射变换之后的车牌
reduce_domain (ImageAffineTrans, RegionAffineTrans, ImageReduced)
*进行反操作
invert_image (ImageReduced, ImageInvert)
*对其进行灰度
rgb1_to_gray (ImageInvert, GrayImage)
*阈值处理
threshold (GrayImage, Regions1, 86, 153)
*得到数字与字母所在的位置
connection (Regions1, ConnectedRegions1)
select_shape (ConnectedRegions1, SelectedRegions1, 'area', 'and', 83.12, 200)
*排列区域
sort_region (SelectedRegions1, SortedRegions, 'character', 'true', 'column')
*进行OCR
read_ocr_class_mlp ('Industrial_0-9A-Z_NoRej.omc', OCRHandle)
do_ocr_multi_class_mlp (SortedRegions, ImageInvert, OCRHandle, Class, Confidence)
*显示
for i:=0 to |Class|-1 by 1
    disp_message(200000,Class[i],'window',10,50+20*i,'black', 'true')
endfor

使用图片