----inspect_frame_width.hdev（经典）
计算两个轮廓之间的距离
1、length_xld
获取轮廓的长度
2、tuple_sort_index( : : Tuple : Indices)
按升序对元组的所有元素进行排序，Indices中存储元素的索引，索引的对应元素值从小到大，元素值最小的索引为0。
length_xld (SelectedContours, Length)
Length =[2783.54, 2720.84, 2854.62, 2926.87]//Length元组中的索引为[0,1,2,3]
tuple_sort_index (Length, Indices)//Length中的值按从小到大排列，索引1的值<索引0<索引2<索引3
Indices = [1, 0, 2, 3]//输出的索引，对应的值从小到大
3、distance_contours_xld(ContourFrom, ContourTo : ContourOut : Mode : )
计算ContourFrom轮廓上的点到ContourTo轮廓上的点或线段最小距离，距离作为属性存储在输出轮廓中
ContourFrom：输入轮廓1
ContourTo：输入轮廓2
ContourOut ：输出轮廓，由ContourFrom组成，包含计算所得到的两个轮廓之间距离信息，距离可以用 get_contour_attrib_xld(Contour::Name:Attrib) 算子提取，设置Attrib= distance获得
Mode: 'point_to_point'、'point_to_segment'，速度更快
'point_to_point'：点到点 ,如下图d1，速度更快
point_to_segment ： 点到段,如下图d2，精度更准
4、segment_contour_attrib_xld(Contour : ContourPart : Attribute, Operation, Min, Max : )
根据Attribute属性对轮廓Contour 进行分割，返回符合要求的轮廓ContourPart
分割的时候Attribute属性可以根据需求同时设置两个，如果Operation=‘and’，则分割的轮廓必须同时满足两个属性的特征，都必须处于Min, Max限制范围内。如果Operation=‘or’，则至少有一个Attribute属性必须在Min, Max限制范围内。属性的处理顺序与在属性中给出的顺序相同。如果只使用一个Attribute属性，则忽略操作的值。
Contour :输入轮廓
ContourPart ：输出轮廓
Attribute:属性
Default value: 'distance'
List of values: 'angle', 'asymmetry', 'contrast', 'distance', 'edge_direction', 'response', 'width_left', 'width_right'
Operation:运算符
5、smooth_contours_xld(Contours : SmoothedContours : NumRegrPoints : )
平滑轮廓
NumRegrPoints : 值越大平滑程度越厉害
平滑之前：
平滑之后：
6、get_contour_attrib_xld(Contour : : Name : Attrib)
根据不同的Attrib属性，返回亚像素轮廓Attrib属性特征的值
Attrib：
Suggested values: 'angle', 'edge_direction', 'width_right', 'width_left', 'response', 'contrast', 'asymmetry', 'distance'
经常和distance_contours_xld(ContourFrom, ContourTo : ContourOut : Mode : )算子一起用，当Mode =distance时， 可用get_contour_attrib_xld(Contour : : Name : Attrib)Attrib=distance，将distance_contours_xld计算所得的轮廓之间 的距离提取出来
* This program shows how to calculate the pointwise* distance of two contours to inspect the camera frame* of a phone housing.* * It uses the operator distance_contours_xld to calculate* the distance between the inner and outer contour of the* frame and the operator segment_contour_attrib_xld* to extract the defects for visualization.* * Set the thresholds for the allowed distances in pixelsMinWidth := 30MaxWidth := 35SmoothnessTolerance := .2* * Initialize visualizationdev_update_off ()dev_close_window ()read_image (Image, 'plastic_parts/phone_camera_frame_01')dev_open_window_fit_image (Image, 0, 0, -1, -1, WindowHandle)set_display_font (WindowHandle, 14, 'mono', 'true', 'false')Colors := ['white','green','yellow','orange','red']Legend[0] := 'Legend:'Legend[1] := 'Extracted contours'Legend[2] := 'Frame too narrow'Legend[3] := 'Frame too wide'Legend[4] := 'Contour defect'* * Main loop:* Inspect the camera frame* NumImages := 2for I := 1 to NumImages by 1read_image (Image, 'plastic_parts/phone_camera_frame_' + I$'02')* * Extract frame edges* * Select the frame regionthreshold (Image, Region, 100, 255)dilation_rectangle1 (Region, RegionDilation, 15, 15)reduce_domain (Image, RegionDilation, ImageReduced)* Extract edges in the reduced image domainedges_sub_pix (ImageReduced, Edges, 'canny', 0.7, 10, 60)union_adjacent_contours_xld (Edges, UnionContours, 7, 7, 'attr_keep')select_shape_xld (UnionContours, SelectedContours, 'contlength', 'and', 700, 99999)count_obj (SelectedContours, Number)* Select the inner and the outer contour*获取轮廓的长度length_xld (SelectedContours, Length)*tuple_sort_index按升序对元组的所有元素进行排序，并按元素值从小到大的顺序返回相应元素在原来的元祖中的索引，元素值最小的索引为0，tuple_sort_index (Length, Indices)*选择最里面的轮廓,selected_obj的Index是从1开始的，素组的索引是从0开始的，所以需要加1*Indices[1] = 0，轮廓长度最小，Index是从1开始的，所以Indices[1]得加1select_obj (SelectedContours, InnerContour, Indices[1]+1 )*选择最外面的轮廓select_obj (SelectedContours, OuterContour, Indices[3]+1 )* 先计算两个轮廓之间的距离* Calculate the distances between the inner and outer contour.* The distances are stored as an attribute to the output contour.distance_contours_xld (InnerContour, OuterContour, OuterContourWithWidth, 'point_to_segment')* Get the contour parts that lie outside of the tolerances*分割提取出距离小于指定最小距离的轮廓部分segment_contour_attrib_xld (OuterContourWithWidth, OuterContourPartToNarrow, 'distance', 'or', 0, MinWidth)length_xld (OuterContourPartToNarrow, Length1)*分割提取出距离大于指定距离的轮廓部分segment_contour_attrib_xld (OuterContourWithWidth, OuterContourPartToWide, 'distance', 'or', MaxWidth, 10000)length_xld (OuterContourPartToWide, Length2)* 检查轮廓本身的平滑度* Check, if the contours are sufficiently smooth by* comparing each contour with a smoothed version of itselfsmooth_contours_xld (OuterContour, OuterContourSmooth, 11)smooth_contours_xld (InnerContour, InnerContourSmooth, 11)distance_contours_xld (OuterContour, OuterContourSmooth, OuterContourWithDistance, 'point_to_segment')distance_contours_xld (InnerContour, InnerContourSmooth, InnerContourWithDistance, 'point_to_segment')* Get the contour parts that lie outside of the tolerancessegment_contour_attrib_xld (OuterContourWithDistance, OuterContourDefect, 'distance', 'or', SmoothnessTolerance, 100)segment_contour_attrib_xld (InnerContourWithDistance, InnerContourDefect, 'distance', 'or', SmoothnessTolerance, 100)* * Get pointwise distances for debuggingget_contour_attrib_xld (OuterContourWithWidth, 'distance', FrameWidth)get_contour_attrib_xld (OuterContourWithDistance, 'distance', InnerDistances)get_contour_attrib_xld (InnerContourWithDistance, 'distance', OuterDistances)** Display resultsdev_display (Image)disp_message (WindowHandle, 'Inspect frame of phone camera (image ' + I + '/' + NumImages + ')', 'window', 12, 12, 'black', 'true')count_obj (OuterContourPartToNarrow, NumTooNarrow)count_obj (OuterContourPartToWide, NumTooWide)count_obj (OuterContourDefect, NumInnerDefects)count_obj (InnerContourDefect, NumOuterDefects)if (NumTooNarrow + NumTooWide + NumInnerDefects + NumOuterDefects == 0)OK := 1disp_message (WindowHandle, 'Frame OK', 'window', 50, 12, 'forest green', 'true')elseOK := 0disp_message (WindowHandle, 'Frame not OK', 'window', 50, 12, 'red', 'true')endif* dev_set_line_width (1)dev_set_color (Colors[1])dev_display (OuterContour)dev_display (InnerContour)dev_set_line_width (5)dev_set_color (Colors[2])dev_display (OuterContourPartToNarrow)dev_set_color (Colors[3])dev_display (OuterContourPartToWide)dev_set_color (Colors[4])dev_display (OuterContourDefect)dev_set_color (Colors[4])dev_display (InnerContourDefect)disp_message (WindowHandle, Legend, 'window', 500, 12, Colors, 'false')if (I < NumImages)disp_continue_message (WindowHandle, 'black', 'true')stop ()endifendfor
————————————————
版权声明：本文为CSDN博主「lfw」的原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接及本声明。
原文链接：/ABC13222880223/article/details/100017771
