处理流程：快速二值化（区域）->获取区域边缘->截取边缘->膨胀边缘区域（定位）->定位区域进行边缘检测->边缘分割：线和圆->选择属性为圆的弧->拟合圆
*读取图像 read_image (Image, 'double_circle') dev_close_window () get_image_size (Image, Width, Height) dev_open_window (0, 0, Width, Height, 'black', WindowHandle) *快速二值化 fast_threshold (Image, Region, 0, 120, 7) *取region的边界 boundary (Region, RegionBorder, 'inner') *剪切、膨胀定位弧形区域 clip_region_rel (RegionBorder, RegionClipped, 5, 5, 5, 5) dilation_circle (RegionClipped, RegionDilation, 2.5) reduce_domain (Image, RegionDilation, ImageReduced) *在弧形区域进行边缘检测 edges_sub_pix (ImageReduced, Edges, 'lanser2', 0.5, 40, 60) *分割边缘：线和圆 segment_contours_xld (Edges, ContoursSplit, 'lines_circles', 5, 4, 3) count_obj (ContoursSplit, Number) dev_display (Image) dev_set_draw ('margin') dev_set_color ('white') dev_update_window ('off') for i := 1 to Number by 1 *选择轮廓并根据特性确定是否拟合圆：* Attrib = -1 线段 0 椭圆 1圆 select_obj (ContoursSplit, ObjectSelected, i) get_contour_global_attrib_xld (ObjectSelected, 'cont_approx', Attrib) if (Attrib > 0) *逼近结果生成一个圆轮廓 fit_circle_contour_xld (ObjectSelected, 'ahuber', -1, 2, 0, 3, 2, Row, Column, Radius, StartPhi, EndPhi, PointOrder) gen_circle_contour_xld (ContCircle, Row, Column, Radius, 0, rad(360), 'positive', 1.0) dev_display (ContCircle) endif endfor dev_set_colored (12) dev_set_line_width (3) dev_display (ContoursSplit)
