模板匹配二 行远

XLD模板匹配实例

解读对于这个图片，会出现重复查找，后续解决！

dev_update_off()
dev_close_window()
read_image(Image, 'E:/学习/Halcon/模板匹配/XLD/modules_01.png')
get_image_size(Image, Width, Height)

dev_open_window(0, 0, Width, Height, 'black', WindowHandle)
dev_display(Image)

*获取灰度图
rgb1_to_gray(Image, GrayImage)
*获取感兴趣的区域
draw_rectangle2(WindowHandle, Row, Column, Phi, Length1, Length2)
gen_rectangle2(Rectangle1, Row, Column, Phi, Length1, Length2)




*创建模板
reduce_domain(GrayImage, Rectangle1, ImageReduced)


edges_sub_pix(ImageReduced, Edges, 'canny', 1, 20, 40)
*create_shape_model(ImageReduced, 'auto', rad(0), rad(360), 'auto', 'auto', 'use_polarity', 'auto', 'auto', ModelID)
create_shape_model_xld(Edges, 'auto', rad(0), rad(360), 'auto', 'auto', 'ignore_local_polarity', 50, ModelID)

get_shape_model_contours(ModelContours, ModelID, 1)
find_shape_model(GrayImage, ModelID, rad(0), rad(360), 0.9, 1, 0.9, 'least_squares', 0, 0.9, Row1, Column1, Angle1, Score1)


vector_angle_to_rigid(0, 0, 0,Row1, Column1, 0, HomMat2D)
affine_trans_contour_xld(ModelContours, ContoursAffinTrans, HomMat2D)
dev_clear_window()
dev_display(Image)
dev_display(ContoursAffinTrans)

find_shape_models(GrayImage, ModelID, rad(0), rad(360), 0.86, 0, 0.9, 'least_squares', 0, 0.9, Row4, Column4, Angle4, Score4, Model)
dev_clear_window()
dev_display(Image)
for I:=0 to |Score4|-1 by 1
    
   hom_mat2d_identity(HomMat2DIdentity)
   hom_mat2d_translate(HomMat2DIdentity, Row4[I],Column4[I], HomMat2DTranslate)
   hom_mat2d_rotate(HomMat2DTranslate, Angle4[I], Row4[I],Column4[I], HomMat2DRotate)
    affine_trans_contour_xld(ModelContours, ContoursAffinTrans1, HomMat2DRotate)
    dev_display(ContoursAffinTrans1)
    
endfor

查了几次。

解决上述问题：

采用了这种方式实现ROI获取XLD：

*获取感兴趣的区域
draw_rectangle2(WindowHandle, Row, Column, Phi, Length1, Length2)
gen_rectangle2(Rectangle1, Row, Column, Phi, Length1, Length2)
smallest_rectangle2(Rectangle1, Row3, Column3, Phi2, Length12, Length22)
gen_rectangle2_contour_xld(Rectangle, Row3, Column3, Phi2, Length12, Length22)

可以解决上述问题，但不知道第一种方式出现这种问题的根源在哪里。