Halcon 定位与区域分割学习笔记

还是车牌识别的例子

read_image (Image, 'C:/Users/LiZhiqiang/Desktop/车牌2.jpg')//读取图像
rgb1_to_gray (Image, GrayImage)//转化成灰度图像
threshold (GrayImage, Regions, 21, 163)//阈值选择
connection (Regions, ConnectedRegions)//断开区域
select_shape (ConnectedRegions, SelectedRegions1, 'area', 'and', 299.63, 1000)//特征选择，选中车牌
union1 (SelectedRegions1, RegionUnion)//把车牌合并成一个区域

如下图

shape_trans (RegionUnion, RegionTrans, 'convex')//将形状转换成矩形

orientation_region (RegionTrans, Phi)//得到区域的偏转角度
area_center (RegionTrans, Area, Row, Column)//计算区域面积和中心点坐标
vector_angle_to_rigid (Row, Column, Phi, Row, Column, 0, HomMat2D)//得到摆正图片的仿射矩阵
affine_trans_image (GrayImage, ImageAffineTrans, HomMat2D, 'constant', 'false')//仿射矩阵应用于图片

affine_trans_region (RegionTrans, RegionAffineTrans, HomMat2D, 'nearest_neighbor')//仿射矩阵应用于区域
reduce_domain (ImageAffineTrans, RegionAffineTrans, ImageReduced)//从图片中截取该矩形区域

 后面的部分就跟上一节的车牌识别思路一样了

threshold (ImageReduced, Regions1, 0, 152)//设定阈值
connection (Regions1, ConnectedRegions1)//断开区域
sort_region (ConnectedRegions1, SortedRegions, 'character', 'true', 'row')
read_ocr_class_mlp ('Document_0-9A-Z_NoRej.omc', OCRHandle)
do_ocr_multi_class_mlp (SortedRegions, ImageReduced, OCRHandle, Class, Confidence)