halcon-union_adjacent_contours_xld合并轮廓_轮廓线

halcon-union_adjacent_contours_xld合并轮廓_轮廓线_02



在HDevelop中

dev_close_window ()
read_image (Image, 'D:/bb/tu/1.jpg')
rgb1_to_gray (Image, GrayImage)

edges_sub_pix (GrayImage, Edges, 'canny', 1, 5, 10)
*亚像素边缘

union_adjacent_contours_xld (Edges, UnionContours, 10, 1, 'attr_keep')
*合并轮廓
*参数1:需要合并的轮廓集
*参数2:输出轮廓
*参数3:两个轮廓之间可接受的最大绝对距离。沿参考轮廓的回归线测量距离。因此,它是两条轮廓线之间的间隙投影到参考回归线上的长度。看下面图理解
*参数4:两个轮廓之间可接受的最大相对距离。通过将距离a除以参考轮廓的长度b来计算相对距离.看下面图理解
*参数5:默认即可


get_image_size (GrayImage, Width, Height)
dev_open_window(10,10,Width, Height,'black',WindowHandle)
dev_display(Edges)

dev_open_window(10,10,Width, Height,'black',WindowHandle1)
dev_display(UnionContours)


halcon-union_adjacent_contours_xld合并轮廓_轮廓线_03



halcon-union_adjacent_contours_xld合并轮廓_轮廓线_04



在QtCreator中

HObject  ho_Image, ho_GrayImage, ho_Edges, ho_UnionContours;
HTuple hv_Width, hv_Height, hv_WindowHandle;
HTuple hv_WindowHandle1;
ReadImage(&ho_Image, "D:/bb/tu/1.jpg");
Rgb1ToGray(ho_Image, &ho_GrayImage);

EdgesSubPix(ho_GrayImage, &ho_Edges, "canny", 1, 5, 10);
//亚像素边缘

UnionAdjacentContoursXld(ho_Edges, &ho_UnionContours, 10, 1, "attr_keep");
//合并轮廓
//参数1:需要合并的轮廓集
//参数2:输出轮廓
//参数3:两个轮廓之间可接受的最大绝对距离。沿参考轮廓的回归线测量距离。因此,它是两条轮廓线之间的间隙投影到参考回归线上的长度。看下面图理解
//参数4:两个轮廓之间可接受的最大相对距离。通过将距离a除以参考轮廓的长度b来计算相对距离.看下面图理解
//参数5:默认即可


GetImageSize(ho_GrayImage, &hv_Width, &hv_Height);
SetWindowAttr("background_color","black");
OpenWindow(10,10,hv_Width,hv_Height,0,"visible","",&hv_WindowHandle);
HDevWindowStack::Push(hv_WindowHandle);
if (HDevWindowStack::IsOpen())
DispObj(ho_Edges, HDevWindowStack::GetActive());

SetWindowAttr("background_color","black");
OpenWindow(10,10,hv_Width,hv_Height,0,"visible","",&hv_WindowHandle1);
HDevWindowStack::Push(hv_WindowHandle1);
if (HDevWindowStack::IsOpen())
DispObj(ho_UnionContours, HDevWindowStack::GetActive());