halcon 缺陷检测

破碎饼干检测* 读取图像 read_image (Image, food/hazelnut_wafer_01) ****************************************一 窗口显示设置************************************************************* * 关闭窗口 dev_close_window () * 打开窗口 dev_open_window_fit_image (Image, 0, 0, -1, -1, WindowHandle) * 关闭更新 dev_update_window (off) * 设置显示线宽 dev_set_line_width (3) * 设置显示模式为边缘模式margin * dev_set_draw (margin) * 设置显示字体大小 set_display_font (WindowHandle, 20, mono, true, false) ****************************************二 算法处理策略Blob分析特征孔洞的面积和矩形度分析************************************************************* * 遍历缺陷图片 for Index : 1 to 24 by 1 * 1.采集图像 read_image (Image, food/hazelnut_wafer_ Index$.02) *2.图像分割 二值化分割 binary_threshold (Image, Foreground, smooth_histo, light, UsedThreshold) *3.形态学处理 开运算腐蚀 opening_circle (Foreground, FinalRegion, 8.5) * 计算孔洞面积 area_holes (FinalRegion, AreaHoles) * 计算矩形度 rectangularity (FinalRegion, Rectangularity) * 显示图像 dev_display (Image) * 用孔洞面积和矩形度特征来判断NG/OK if (AreaHoles 300 or Rectangularity 0.92) * 设置显示颜色为红色 dev_set_color (red) Text : NG else dev_set_color (forest green) Text : OK endif * 显示缺陷区域 dev_display (FinalRegion) * 显示文本 disp_message (WindowHandle, Text, window, 12, 12, , false) if (Index 24) *在屏幕右下角显示“单击“运行”以继续” disp_continue_message (WindowHandle, black, true) stop () endif endfor瓶嘴破裂检测* 平滑卷积X长度 SmoothX : 501 * 阈值偏置 ThresholdOffset : 25 * 最小缺陷大小 MinDefectSize : 50 * 极坐标分辨率 PolarResolution : 640 * 环大小 RingSize : 70 * 获取空区域对象 get_system (store_empty_region, StoreEmptyRegion) set_system (store_empty_region, false) * 读取图像 read_image (Image, bottles/bottle_mouth_01) * 更新设备 dev_update_off () * 关闭窗口 dev_close_window () dev_close_window () * 打开固定大小窗口 dev_open_window_fit_image (Image, 0, 0, 640, 512, WindowHandle1) * 设置显示字体的大小 set_display_font (WindowHandle1, 16, mono, true, false) * 显示图像 dev_display (Image) * 设置显示模式 dev_set_draw (margin) * 设置显示线宽 dev_set_line_width (3) * 打开固定大小窗口 dev_open_window_fit_size (0, 648, RingSize, PolarResolution, 150, 512, WindowHandle) * dev_open_window_fit_image (Image, 0, 0, 640, 512, WindowHandle1) dev_set_draw (margin) dev_set_line_width (3) dev_set_color (red) * 遍历 for Index : 1 to 16 by 1 * 读取图像 read_image (Image, bottles/bottle_mouth_ Index$.02) * 阈值分割 * 1.获取输入图像的灰度直方图 * 2.使用标准差为Sigma的一维高斯滤波器对直方图进行滤波 * 3.计算滤波后的直方图的极小值 * 4.以计算得到的极小值所对应的灰度值为分割阈值对图像进行分割 * 直方图阈值分割 auto_threshold (Image, Regions, 2) * 选择分割区域 select_obj (Regions, DarkRegion, 1) * 开运算 opening_circle (DarkRegion, RegionOpening, 3.5) * 闭运算 closing_circle (RegionOpening, RegionClosing, 25.5) * 填充 fill_up (RegionClosing, RegionFillUp) * 获取边界 boundary (RegionFillUp, RegionBorder, outer) * 膨胀 dilation_circle (RegionBorder, RegionDilation, 3.5) * 获取区域图像 reduce_domain (Image, RegionDilation, ImageReduced) * 获取边缘 edges_sub_pix (ImageReduced, Edges, canny, 0.5, 20, 40) * 分割轮廓 segment_contours_xld (Edges, ContoursSplit, lines_circles, 5, 4, 2) * 合并轮廓 union_cocircular_contours_xld (ContoursSplit, UnionContours, 0.9, 0.5, 0.5, 200, 50, 50, true, 1) * 轮廓个数 length_xld (UnionContours, Length) * 选择对象 select_obj (UnionContours, LongestContour, sort_index(Length)[|Length| - 1] 1) * 拟合圆轮廓 fit_circle_contour_xld (LongestContour, ahuber, -1, 0, 0, 3, 2, Row, Column, Radius, StartPhi, EndPhi, PointOrder) * * Part 2: Transform the ring-shaped bottle neck region to a rectangle * 生成圆 gen_circle (Circle, Row, Column, Radius) * 膨胀 dilation_circle (Circle, RegionDilation, 5) * 腐蚀 erosion_circle (Circle, RegionErosion, RingSize - 5) *区域相减 difference (RegionDilation, RegionErosion, RegionDifference) * 获取区域图像 reduce_domain (Image, RegionDifference, ImageReduced) * 极坐标转换 polar_trans_image_ext (ImageReduced, ImagePolar, Row, Column, 0, rad(360), Radius - RingSize, Radius, PolarResolution, RingSize, nearest_neighbor) * * Part 3: Find defects with a dynamic threshold * 灰度值拉伸到0-255 scale_image_max (ImagePolar, ImageScaleMax) * 均值滤波 mean_image (ImageScaleMax, ImageMean, SmoothX, 3) * 动态阈值分割 dyn_threshold (ImageScaleMax, ImageMean, Regions1, 55, not_equal) * 连通 connection (Regions1, Connection) * 根据特征选取区域 select_shape (Connection, SelectedRegions, height, and, 9, 99999) * 闭运算 closing_rectangle1 (SelectedRegions, RegionClosing1, 10, 20) * 区域合并 union1 (RegionClosing1, RegionUnion) * re-transform defect regions for visualization polar_trans_region_inv (RegionUnion, XYTransRegion, Row, Column, 0, rad(360), Radius - RingSize, Radius, PolarResolution, RingSize, 1280, 1024, nearest_neighbor) * Part 4: Display results * 显示结果 dev_set_window (WindowHandle1) dev_display (Image) dev_set_color (blue) dev_display (RegionDifference) dev_set_color (red) dev_display (XYTransRegion) * display polar transformed inspected region with results * The image and resulting region are rotated by 90 degrees * only for visualization purposes! (I.e. to fit better on the screen) * The rotation is NOT necessary for the detection algorithm. dev_set_window (WindowHandle) * 旋转图像重要 rotate_image (ImagePolar, ImageRotate, 90, constant) dev_display (ImageRotate) * 区域计数 count_obj (RegionUnion, Number) if (Number 0) mirror_region (RegionUnion, RegionMirror, diagonal, PolarResolution) mirror_region (RegionMirror, RegionMirror, row, PolarResolution) dev_display (RegionMirror) disp_message (WindowHandle1, Not OK, window, 12, 12, red, false) else disp_message (WindowHandle1, OK, window, 12, 12, forest green, false) endif if (Index 16) disp_continue_message (WindowHandle1, black, true) stop () endif endfor * Reset system parameters set_system (store_empty_region, StoreEmptyRegion)塑料网孔检测read_image (Image, plastic_mesh/plastic_mesh_06) read_image (Image, plastic_mesh/plastic_mesh_01) * Blob分析动态阈值分割特征分析面积 mean_image (Image, ImageMean, 49, 49) dyn_threshold (Image, ImageMean, RegionDynThresh, 5, dark) * 打散 connection (RegionDynThresh, ConnectedRegions) * 筛选 select_shape (ConnectedRegions, SelectedRegions, area, and, 400, 99999) count_obj (SelectedRegions, Number) if(Number0) dev_get_window (WindowHandle) disp_message (WindowHandle, NG, window, 12, 12, red, true) else dev_get_window (WindowHandle) disp_message (WindowHandle, OK, window, 12, 12, green, true) endif* 窗口设置 dev_update_window (off) * 读取图像 read_image (Image, plastic_mesh/plastic_mesh_01) * 关闭窗口 dev_close_window () * 获取图像大小 get_image_size (Image, Width, Height) * 设置窗口显示 dev_open_window_fit_image (Image, 0, 0, Width, Height, WindowHandle) set_display_font (WindowHandle, 18, mono, true, false) dev_set_draw (margin) dev_set_line_width (3) * 遍历 for J : 1 to 14 by 1 * 读取图像 read_image (Image, plastic_mesh/plastic_mesh_ J$02) * 中值滤波 mean_image (Image, ImageMean, 49, 49) * 动态阈值分割 dyn_threshold (Image, ImageMean, RegionDynThresh, 5, dark) * 连通 connection (RegionDynThresh, ConnectedRegions) * 通过面积选取特征区域 select_shape (ConnectedRegions, ErrorRegions, area, and, 500, 99999) * 计数 count_obj (ErrorRegions, NumErrors) * 显示结果 dev_display (Image) dev_set_color (red) dev_display (ErrorRegions) * If the number of errors exceeds zero, the message Mesh not * OK is displayed. Otherwise the web is undamaged * and Mesh OK is displayed. if (NumErrors 0) disp_message (WindowHandle, Mesh not OK, window, 24, 12, black, true) else disp_message (WindowHandle, Mesh OK, window, 24, 12, black, true) endif * If the sequence number of the image to be inspected is * lower than 14, the request to press Run to continue appears. * If the last image is read, pressing Run will clear the SVM. if (J 14) disp_continue_message (WindowHandle, black, true) stop () endif endfor毛刺检测* blob分析 以阈值分割为基础提取区域 * 差分把带有缺陷的区域和不带缺陷的区域相减得到缺陷区域 * 特征分析面积、宽度、高度等待特征信息判定是不是缺陷 * 读取图像 read_image (Image, fin1) * blob分析提取带缺陷的区域 binary_threshold (Image, Region, max_separability, dark, UsedThreshold) * 获取不带缺陷的区域 * 腐蚀 后膨胀 opening_rectangle1 (Region, RegionOpening, 60,60) difference (Region, RegionOpening, RegionDifference) opening_rectangle1 (RegionDifference, RegionOpening1, 10, 10) * 特征分析 area_center (RegionOpening1, Area, Row, Column) if(Area1000) dev_get_window (WindowHandle) disp_message (WindowHandle,NG, window, 12, 12, red, true) endif* 窗口设置 dev_update_window (off) * 读取图像 read_image (Fins, fin [1:3]) * 获取图像大小 get_image_size (Fins, Width, Height) * 设置窗口显示 dev_close_window () dev_open_window (0, 0, Width[0], Height[0], black, WindowID) set_display_font (WindowID, 14, mono, true, false) * 遍历 for I : 1 to 3 by 1 * 选取图像 select_obj (Fins, Fin, I) * 显示图像 dev_display (Fin) * 二值化分割 binary_threshold (Fin, Background, max_separability, light, UsedThreshold) binary_threshold (Fin, Foreground, max_separability, dark, UsedThreshold1) * 设置窗口显示 dev_set_color (blue) dev_set_draw (margin) dev_set_line_width (4) dev_display (Background) disp_continue_message (WindowID, black, true) stop () * 闭运算 closing_circle (Background, ClosedBackground, 250) * 开运算 opening_rectangle1 (Foreground, RegionOpening, 50, 100) * 设置窗口显示 dev_set_color (green) dev_display (ClosedBackground) disp_continue_message (WindowID, black, true) stop () * 区域相减 difference (ClosedBackground, Background, RegionDifference) difference (Foreground, RegionOpening, RegionDifference1) * 开运算 opening_rectangle1 (RegionDifference, FinRegion, 5, 5) opening_rectangle1 (RegionDifference1, FinRegion2, 5, 5) * 显示结果 dev_display (Fin) dev_set_color (red) dev_display (FinRegion) * 获取区域面积和中心 area_center (FinRegion, FinArea, Row, Column) if (I 3) disp_continue_message (WindowID, black, true) stop () endif endforpcb板断栅检测read_image (Image, pcb) * 差分 带缺陷的图像 - 不带缺陷的图像 得到缺陷 * 灰度图像的膨胀和腐蚀 * 对原图进行灰度的开操作(把缺陷区域合并起来了) gray_opening_shape (Image, ImageOpening, 7, 7, octagon) * 灰度开操作 gray_closing_shape (Image, ImageClosing, 7, 7, octagon) * 相减操作 dyn_threshold (ImageOpening, ImageClosing, RegionDynThresh, 80, dark) area_center (RegionDynThresh, Area, Row, Column) if(Area200) dev_get_window (WindowHandle) disp_message (WindowHandle, NG, window, 12, 12, red, true) endif* 窗口设置 dev_update_window (off) * 读取图像 read_image (Fins, fin [1:3]) * 获取图像大小 get_image_size (Fins, Width, Height) * 设置窗口显示 dev_close_window () dev_open_window (0, 0, Width[0], Height[0], black, WindowID) set_display_font (WindowID, 14, mono, true, false) * 遍历 for I : 1 to 3 by 1 * 选取图像 select_obj (Fins, Fin, I) * 显示图像 dev_display (Fin) * 二值化分割 binary_threshold (Fin, Background, max_separability, light, UsedThreshold) binary_threshold (Fin, Foreground, max_separability, dark, UsedThreshold1) * 设置窗口显示 dev_set_color (blue) dev_set_draw (margin) dev_set_line_width (4) dev_display (Background) disp_continue_message (WindowID, black, true) stop () * 闭运算 closing_circle (Background, ClosedBackground, 250) * 开运算 opening_rectangle1 (Foreground, RegionOpening, 50, 100) * 设置窗口显示 dev_set_color (green) dev_display (ClosedBackground) disp_continue_message (WindowID, black, true) stop () * 区域相减 difference (ClosedBackground, Background, RegionDifference) difference (Foreground, RegionOpening, RegionDifference1) * 开运算 opening_rectangle1 (RegionDifference, FinRegion, 5, 5) opening_rectangle1 (RegionDifference1, FinRegion2, 5, 5) * 显示结果 dev_display (Fin) dev_set_color (red) dev_display (FinRegion) * 获取区域面积和中心 area_center (FinRegion, FinArea, Row, Column) if (I 3) disp_continue_message (WindowID, black, true) stop () endif endfor吸嘴检测* 差分带缺陷的区域-不带缺陷的区域 缺陷 * 进行特征获取缺陷区域的面积、宽高等进行是否是NG品的判定 * 读取图像 read_image (Image, hull) * blob分析 区域提取 threshold (Image, Region, 0, 90) fill_up (Region, RegionFillUp) * 先膨胀后腐蚀 closing_rectangle1 (RegionFillUp, RegionClosing, 30, 30) * 去杂质(不带缺陷区域) opening_rectangle1 (RegionClosing, RegionOpening, 10, 10) * 获取带缺陷的区域 shape_trans (RegionOpening, RegionTrans, convex) * 差分 difference (RegionTrans, RegionOpening, RegionDifference) opening_circle (RegionDifference, RegionOpening1,8) area_center (RegionOpening1, Area, Row, Column) if(Area3000) dev_get_window (WindowHandle) disp_message (WindowHandle, NG, window, Row, Column, red, true) else dev_get_window (WindowHandle) disp_message (WindowHandle, OK, window, 12, 12, green, true) endif******************************************第一步 初始化************************************************** *读取一张图像 read_image (Hull, hull) *获取图像大小 get_image_size (Hull, Width, Height) *关闭已经打开的窗口 dev_close_window () *打开一个新的窗口 dev_open_window (0, 0, Width, Height, black, WindowID) *显示图像 dev_display (Hull) ******************************************第二步 图像处理************************************************** *阈值操作,分割2.阈值分割出吸嘴 threshold (Hull, Dark, 0, 80) * 补集运算,获取背景区域 difference (Hull, Dark, Light) *对背景区域进行连通处理 connection (Light, ConnectedRegions) *过滤出背景区域 select_shape (ConnectedRegions, NoHullCand, area, and, 50000, 9999999) *对过滤的背景区域进行闭运算,填充背景间隙和平滑背景边界 closing_circle (NoHullCand, NoHull, 13.5) *补集运算,获取吸嘴区域重要 difference (Hull, NoHull, Region) *对吸嘴区域开运算 opening_circle (Region, RegionOpening, 2.5) *对吸嘴区域进行连通处理 connection (RegionOpening, ConnectedRegions) *过滤出吸嘴区域 select_shape (ConnectedRegions, RegionHull, area, and, 5000, 9999999) *将吸嘴区域转换为凸包区域重要 shape_trans (RegionHull, ConvexHull, convex) *补集运算,获取吸嘴的缺口重要 difference (ConvexHull, RegionHull, Region) *对吸嘴缺口区域进行连通处理 connection (Region, ConnectedRegions) *过滤出吸嘴缺口 select_shape (ConnectedRegions, LargeHoles, area, and, 2000, 99999) select_shape (LargeHoles, Holes, convexity, and, 0, 0.85) *显示图像 dev_display (Hull) *设置输出对象的线宽度 dev_set_line_width (5) *设置区域的填充方式 dev_set_draw (margin) *设置输出对象显示颜色为红色 dev_set_color (red) *显示吸嘴缺口 dev_display (Holes)