这个例程是要检查图中焊接点,并获取焊接点的直径。
处理过程: 首先,分离比较明亮的区域,然后将找出来的结果,转换成最小的平行矩形,即获得了图像处理的ROI。
然后,在ROI区域内选择比较暗的区域,移除不适合的区域(利用形状,面积等参数),把物体抽出变成一个独立的物,找出圆形物体,并且排列物体即可。 程序如下: dev_close_window () dev_open_window(0, 0, -1, -1, 'black', WindowID) read_image(Die,
'E:/halcon图像/die_03.png') dev_display(Die) threshold(Die,
Brightregion,100,255) shape_trans(Brightregion, ROI, 'rectangle2') reduce_domain(Die, ROI, DieROI) threshold(DieROI,
RawSegmentation,0,50) fill_up_shape(RawSegmentation, Wires, 'area', 1, 100) opening_circle(Wires, BallRegion,
15.5) connection(BallRegion, Balls) select_shape(Balls, FinalBalls, 'circularity', 'and', 0.85, 1.0) count_obj(FinalBalls,NumBalls) smallest_circle(FinalBalls, Row, Column, Radius) meanRadius := sum(Radius)/|Radius| area_center(FinalBalls, Area, RowCenter, Colcenter) minArea := min(Area) disp_circle(WindowID, Row, Column, Radius) 所用到的算子如下: threshold(Image : Region : MinGray, MaxGray : )
shape_trans(Region : RegionTrans : Type : ) reduce_domain(Image, Region : ImageReduced : : )
fill_up_shape(Region : RegionFillUp : Feature, Min, Max : )
opening_circle(Region : RegionOpening : Radius : )
connection(Region : ConnectedRegions : : )
select_shape(Regions : SelectedRegions : Features, Operation, Min, Max : )
count_obj(Objects : : : Number)
smallest_circle(Regions : : : Row, Column, Radius) *注意,'||'中求的不是绝对值,而是 tuple 数据的数目,这个例子中就是7。 area_center(Regions : : : Area, Row, Column) disp_circle( : : WindowHandle, Row, Column, Radius : ) |
|