halcon计算解析度

最近因为项目需求,研究了一个小工具,自动计算解析度。

read_image (Image, 'D:/TT/Desktop/halcon/计算解析度/擷取.PNG')
InputTuple:=['179, 77, 410, 513','3']
CalculateResolution (Image, OutputImage, InputTuple, OutputTuple)

新建函数,计算解析度

CalculateResolution (InputImage, OutputImage, InputTuple, OutputTuple)

InputImage:输入的图片;

OutputImage:输出的图片;

InputTuple:输入的参数;

OutputTuple:输出的参数

gen_empty_obj (MatchContours)
tuple_number (InputTuple, InputTuple)
lib_convert_roi (RoiRect, InputTuple[0], Roi)
reduce_domain (InputImage, RoiRect, ImageReduced) 
lib_find_line_2d (ImageReduced, Contour1, Cross1, Roi, '↓', 'positive', 'first', 10, 2, 10, 10, Line1)
lib_find_line_2d (ImageReduced, Contour2, Cross2 ,Roi, '↑', 'positive', 'first', 10, 2, 10, 10, Line2)
 concat_obj (Contour1, Contour2, MatchContours)
Reals:=InputTuple[1]
Wide:=Line2[0]-Line1[0] 
Resolution:=Reals/Wide

OutputTuple := [Reals,Wide,Resolution]    
ShowText := ['实际PAD宽度','宽度','解析度'] + ':' + OutputTuple

lib_draw_open (InputImage, 1, WindowVector.at(0))
lib_draw_shape (MatchContours, 'margin', 'green', 3, WindowVector.at(0))
lib_draw_result (ShowText, 'OK', 20, WindowVector.at(0))
lib_draw_close (OutputImage, WindowVector)
return ()

原图:

输出图片:

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转载自blog.csdn.net/qq_42711010/article/details/141134576