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Halcon红黄蓝颜识别之阈值分割方法（第二种方法）

Halcon红黄蓝颜⾊识别之阈值分割⽅法（第⼆种⽅法）Halcon红黄蓝颜⾊识别之转RGB后阈值分割实现（仅能识别单个识别）（第⼆种⽅法）

for k :=1 to 3 by 1

采油速度read_image (Image,'C:/Users/Administrator/Desktop/halcon识别图⽚/识别红黄蓝/'+k+'.jpg')

dev_close_window ()

dev_open_window (0,0,557,416,'black', WindowHandle)

dev_display (Image)

dev_set_draw ('margin')

dev_set_line_width (3)

*RGB图像分别对应Image_R, Image_G, Image_B

decompose3 (Image, Image_R, Image_G, Image_B)

gen_empty_obj (ImageConcat)

漫友商城*将转化成的RGB三个通道图像全部放⼊ImageConcat这个空区域中

concat_obj (Image_R, Image_G, ObjectsConcat)

concat_obj (ObjectsConcat, Image_B, ImageConcat)

*下⾯三组最⼤最⼩阈值⽤于红黄蓝三种颜⾊的对应好提取的RGB图像中的⼀个

min_threshold :=[45,6,18]

max_threshold :=[65,31,47]

*此处最⼩最⼤区域完全可以⽤⼀组，此处留有数组为了留⼀定修改空间

min_area :=[100000,100000,100000]

max_area :=[500000,5000000,5000000]

try周孝德

for i :=1 to 3 by 1

select_obj (ImageConcat, ImageSelected, i)

for j :=1 to 3 by 1

threshold (ImageSelected, Regions, min_threshold[j -1], max_threshold[j -1])

opening_circle (Regions, RegionOpening,8)

*多个区域低碳哥

connection (RegionOpening, ConnectedRegions)

*⾯积选择

select_shape (ConnectedRegions, SelectedRegions,['area','circularity'],'and',[min_area[j -1],0.4937],[max_area[j -1],1])

fill_up (SelectedRegions, RegionFillUp)

shape_trans (RegionFillUp, RegionTrans,'convex')

中国电信八大基地area_center (RegionTrans, Area, Row, Column)

if(Area<150000 or Area>450000)

continue

else

a := min_threshold[j -1]

b:=max_threshold[j -1]

endif

*此处的beak是为了如果到满⾜的圆就跳出这个for循环，不了

break

endfor

if(Area<150000 or Area>450000)

continue

endif

gen_contour_region_xld (RegionTrans, Contours,'border')

fit_circle_contour_xld (Contours,'algebraic',-1,0,0,3,2, Row, Column, Radius, StartPhi, EndPhi, PointOrder)

gen_circle (Circle, Row, Column, Radius)

area_center (Circle, Area1, Row1, Column1)驯狼记

break

endfor

if(a=6 and b=31)

dev_display (Image)

dev_display (Circle)

disp_message (WindowHandle,'该圆块是黄⾊','window',0,0,'red','true')

disp_message (WindowHandle,'该圆块⾯积为:'+Area1,'window',25,0,'red','true')

disp_message (WindowHandle,'该圆块中⼼横纵坐标为:'+'('+Row1+','+Column1+')','window',50,0,'red','true')

endif

if(a=45 and b=65)

dev_display (Image)

dev_display (Circle)

disp_message (WindowHandle,'该圆块是红⾊','window',0,0,'red','true')

disp_message (WindowHandle,'该圆块⾯积为:'+Area1,'window',25,0,'red','true')

disp_message (WindowHandle,'该圆块中⼼横纵坐标为:'+'('+Row1+','+Column1+')','window',50,0,'red','true') endif

if(a=18 and b=47)

dev_display (Image)

dev_display (Circle)

disp_message (WindowHandle,'该圆块是蓝⾊','window',0,0,'red','true')

disp_message (WindowHandle,'该圆块⾯积为:'+Area1,'window',25,0,'red','true')

disp_message (WindowHandle,'该圆块中⼼横纵坐标为:'+'('+Row1+','+Column1+')','window',50,0,'red','true') endif

catch(Exception)

endtry

stop()

endfor

本文发布于:2024-09-21 10:28:20，感谢您对本站的认可！

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