Halcon探索学习 | 3 数据类型

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halcon数据类型： A. object   图形参数（图像image、区域region、轮廓xld）     图像image:     1.通道  count_channels(image1,Channels)     2.大小  get_image_size(image1,Width,Height)      3.类型  get_image_type(image1,Type)     4.灰度值：像素光强弱的表示（行列位置的）  获取： get_grayval(image1,10,10,Grayval)  改变： set_grayval(image1,10,10,100)     区域region:  region of interst                 A. 创建规则区域，比如矩形、圆形         gen_rectangle1(ROI_0,140,939,307,307)         gen_circle(ROI_0,140,939,307,307)     B .创建不规则区域         gen_region_points (ROI_0,140,939,307,307)     轮廓xld :                  创建轮廓 gen_circle_contour_xld(ContCircle,200,200,100.5,0,6.28,'positive',1)   B. Control 控制参数（int、double、string）

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区域操作： *提取所有回形针并结算角度 read_image(Image,'clip') *1.图像二值化 被选中的是1 没选中的是0   threshold (Image, Regions, 10, 84) *2.连通分割  connection (Regions, ConnectedRegions) count_obj (ConnectedRegions, Number) area_center (ConnectedRegions, Area, Row, Column)  select_shape (ConnectedRegions, SelectedRegions, 'column', 'and', 79.82, 1000) count_obj (ConnectedRegions, Number)   *  形态学变换 边缘有阴影可以进行腐蚀 *3.占用面积   fill_up (SelectedRegions, RegionFillUp) *3.1.腐蚀 erosion_rectangle1 (RegionFillUp, RegionErosion, 1, 1) *3.2.膨胀 dilation_rectangle1 (RegionErosion, RegionDilation, 1, 1) count_obj (ConnectedRegions, Number)   *合并 union1 (RegionDilation, RegionUnion) union2 (RegionDilation, Regions, RegionUnion1)   *减操作 difference (RegionUnion1, SelectedRegions, RegionDifference) *相交 intersection (RegionDifference, RegionErosion, RegionIntersection) *补集   complement (ConnectedRegions, RegionComplement) *区域转换 求最小外接椭圆 select_obj (SelectedRegions, ObjectSelected, 1) shape_trans (ObjectSelected, RegionTrans, 'convex')