一个学习找边的实例
边缘检测的步骤图解
步骤
1.通过Blob方法获取需要测量的Region
1.1 主要运用图像形态学、二值化
2.创建测量句柄
2.1 create_metrology_model (MetrologyHandle)
3.设置目标图像大小
3.1 set_metrology_model_image_size (MetrologyHandle, Width, Height)
4.添加测量对象
4.1 (通用算子) 默认值:‘circle’,参考值:‘circle’圆,‘ellipse’椭圆,‘line’线,‘rectangle2’矩形,长方形;
add_metrology_object_generic (MetrologyHandle, 'line', LineParam, 20, 5, 1, 30, [], [], Index)
4.2 *circle 圆形工具
add_metrology_object_circle_measure (MetrologyHandle, Row1, Column1, Row1, 20, 5, 1, 30, [], [], Index1)
4.3 circle 椭圆工具
add_metrology_object_ellipse_measure (MetrologyHandle, Row1, Column1, Index1, Index1, Index1, 20, 5, 1, 30, [], [], Index2)
4.4 rectangle 矩形工具
add_metrology_object_rectangle2_measure (MetrologyHandle, Row1, Column1, Index3, Index3, Index3, 20, 5, 1, 30, [], [], Index4)
4.5 line 直线工具
add_metrology_object_line_measure (MetrologyHandle, Row1, Column1, Row2, Column2, 20, 5, 1, 30, [], [], Index)
5.设置测量参数
5.1 *设置找线的方式(positive,negative,all)从黑到白,从白到黑
set_metrology_object_param (MetrologyHandle, 'all', 'measure_transition', 'all')
5.2 *预期测量的区域个数
set_metrology_object_param (MetrologyHandle, 'all', 'num_instances', 12)
5.3*拟合数
set_metrology_object_param (MetrologyHandle, 'all', 'num_instances', 6)
5.4*高斯平滑系数,值越大,唯一的边缘越清晰
set_metrology_object_param (MetrologyHandle, 'all', 'measure_sigma', 5)
5.5 *区域,垂直与边界的测量区域的一半长度
set_metrology_object_param (MetrologyHandle, 'all', 'measure_length1', 80)
5.6 *区域,相切于边缘的测量区域的一半长度
set_metrology_object_param(MetrologyHandle, 'all', 'measure_length2', 10)
5.7 *最小边缘幅度越大,要求找到的边缘越锐利(灰度变换明显),反而不容易找到边缘
set_metrology_object_param (MetrologyHandle, 'all', 'measure_threshold', 20)
5.8 *测量双立方插入值,区别与bilinear双线性
set_metrology_object_param (MetrologyHandle, 'all', 'measure_interpolation', 'bicubic')
5.9 *取值 all,first,best,last
set_metrology_object_param (MetrologyHandle, 'all', 'measure_select', 'all')
5.10 *设置最小分数0.7
set_metrology_object_param (MetrologyHandle, 'all', 'min_score', 0.7)
6.执行测量,获取边缘点集
7.获取最终测量数据和轮廓
8.释放测量句柄
代码
dev_get_window (WindowHandle) *读取图像 read_image (Image, 'printer_chip/printer_chip_01') *获取图像大小 get_image_size (Image, Width, Height) *方式一绘制测量位置直线 *draw_line (WindowHandle, Row1, Column1, Row2, Column2) *方式二 固定测量位置直线坐标 Row1 := 19.9 Column1 := 810 Row2 := 271.9 Column2 := 808.5 *根据绘制的直线坐标来构建参数对象 LineParam := [Row1, Column1,Row2, Column2] *绘制测量位置直线 时把直线的坐标写入文本文件,以变查看。这样就可以知道绘制的坐标。 *实际测量时是不可能让人,手动的去绘制每张要测量的图片的 open_file ('LineParam.txt', 'output', FileHandle) fileStr := '线的坐标Row1:'+Row1+',Column1:'+Column1+',Row2:'+Row2+',Column2:'+Column2 fwrite_string (FileHandle, fileStr) disp_message (WindowHandle, fileStr, 'window', 0, 0, 'red', 'true') *创建计算测量句柄 create_metrology_model (MetrologyHandle) *句柄关联测试的图坐标位置 *设置测量对象图像的大小 *参数: * MeasureHandle:输入测量模型的句柄; * Width:输出图像宽; * Height:输出图像高; set_metrology_model_image_size (MetrologyHandle, Width, Height) *添加测量模型对象(此处是线) *将测量对象添加到测量模型中 *算子参数: * MeasureHandle:输入测量模型的句柄; * Shape:输入要测量对象的类型;默认值:‘circle’,参考值:‘circle’圆,‘ellipse’椭圆,‘line’线,‘rectangle2’矩形,长方形; * ShapeParam:要添加的测量对象的参数。 * MeasureLength1:输入垂直于边界的测量区域的一半长度;默认值:20,参考值:10,20,30;最小增量:1.0;建议增量:10.0 * MeasureLength2:输入与边界相切的测量区域的一半长度;默认值:5,参考值:3,5,10;最小增量:1.0;建议增量:10.0 * MeasureSigma:输入用于平滑的高斯函数的sigma;默认值:1,参考值:0.4,0.6,0.8,1.0,1.5,2.0,3.0,4.0,5.0,7.0,10.0;最小增量:0.01;建议增量:0.1;限制:(0.4 <= MeasureSigma)&&(MeasureSigma <= 100) * MeasureThreshold:输入测量阈值/最小边缘幅度;默认值:30,参考值:5.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 90.0, 110.0;最小增量:0.5;建议增量:2; * GenParamName:输入参数名称;参考: ‘distance_threshold’, ‘end_phi’, ‘instances_outside_measure_regions’, ‘max_num_iterations’, ‘measure_distance’, ‘measure_interpolation’, ‘measure_select’, ‘measure_transition’, ‘min_score’, ‘num_instances’, ‘num_measures’, ‘point_order’, ‘rand_seed’, ‘start_phi’; * GenParamValue:输入参数值;参考:1, 2, 3, 4, 5, 10, 20, ‘all’, ‘true’, ‘false’, ‘first’, ‘last’, ‘positive’, ‘negative’, ‘uniform’, ‘nearest_neighbor’, ‘bilinear’, ‘bicubic’; * Index:输出创建测量对象的索引值; add_metrology_object_generic (MetrologyHandle, 'line', LineParam, 20, 5, 1, 30, [], [], Index) *为测量模型的测量对象设置参数 set_metrology_object_param *根据需求设置测量的参数 *设置找线的方式(positive,negative,all)从黑到白,从白到黑 *算子参数: * MeasureHandle:输入测量模型的句柄; * Index:指定测量对象,为all时所有计量对象的参数都被设置(‘all’); * GenParamName:输入参数名称;默认:‘num_instances’,参考: * 'measure_length1':区域,垂直于边界的测量区域的一半长度 * 'measure_length2':区域,相切于边界的测量区域的一半长度 * 'measure_distance':区域,两个测量区域中心之间的距离 * 'num_measures':区域,测量区域数 * 'measure_sigma':测量,用于平滑的高斯函数的 Sigma * 'measure_threshold':测量,最小边缘幅度阈值 * 'measure_select':测量,边缘端点的选择('last'、'first') * 'measure_transition':测量,方向('all'、'negative'、 'positive') * 'measure_interpolation':测量,插值类型 * 'min_score':拟合,最小分数 * 'num_instances':拟合,成功拟合实例的最大数量 * 'distance_threshold':拟合,距离阈值 set_metrology_object_param (MetrologyHandle, 'all', 'measure_transition', 'all') *预期测量的区域个数 set_metrology_object_param (MetrologyHandle, 'all', 'num_instances', 12) *拟合数 set_metrology_object_param (MetrologyHandle, 'all', 'num_instances', 6) *高斯平滑系数,值越大,唯一的边缘越清晰 set_metrology_object_param (MetrologyHandle, 'all', 'measure_sigma', 5) *区域,垂直与边界的测量区域的一半长度 set_metrology_object_param (MetrologyHandle, 'all', 'measure_length1', 80) *区域,相切于边缘的测量区域的一半长度 set_metrology_object_param(MetrologyHandle, 'all', 'measure_length2', 10) *最小边缘幅度越大,要求找到的边缘越锐利(灰度变换明显),反而不容易找到边缘 set_metrology_object_param (MetrologyHandle, 'all', 'measure_threshold', 20) *测量双立方插入值,区别与bilinear双线性 set_metrology_object_param (MetrologyHandle, 'all', 'measure_interpolation', 'bicubic') *取值 all,first,best,last set_metrology_object_param (MetrologyHandle, 'all', 'measure_select', 'all') *设置最小分数0.7 set_metrology_object_param (MetrologyHandle, 'all', 'min_score', 0.7) *开始找边缘 apply_metrology_model (Image, MetrologyHandle) *获取测量区域找到的边缘坐标集合 get_metrology_object_measures (Contours, MetrologyHandle, 'all', 'all', Row, Column) *把找到的点通过十字叉来显示 gen_cross_contour_xld (Cross, Row, Column, 6, 0.785398) *得到线的起点坐标并显示出来 get_metrology_object_result (MetrologyHandle, 0, 'all', 'result_type', 'all_param', Parameter) *获取计量模型的计量结果轮廓 get_metrology_object_result_contour (Contour, MetrologyHandle, 0, 'all', 1.5) *取第一条边放到ObjectSelected变量中 select_obj (Contour, ObjectSelected, 1) *取第二条边放到ObjectSelected1变量中 select_obj (Contour, ObjectSelected1, 2) *测量两个轮廓之间的距离 distance_cc (ObjectSelected, ObjectSelected1, 'point_to_point', DistanceMin, DistanceMax) disp_message (WindowHandle, 'length:'+DistanceMin, 'window', 20, 0, 'green', 'true') *清除句柄 clear_metrology_model (MetrologyHandle)
结果
部分参数说明
*line 直线工具
*添加直线测量对象到模型
*函数参数:
* MeasureHandle:输入测量模型的句柄;
* RowBegin:输入测量区域行坐标起点;(测量直线的第一个点X坐标)
* ColumnBegin:输入测量区域列坐标起点;(测量直线的第一个点Y坐标)
* RowEnd:输入测量区域行坐标终点;(测量直线的第二个点X坐标)
* ColumnEnd:输入测量区域列坐标终点;(测量直线的第二个点Y坐标)
* MeasureLength1:输入垂直于边界的测量区域的一半长度;默认值:20,参考值:10,20,30;
* MeasureLength2:输入与边界相切的测量区域的一半长度;默认值:5,参考值:3,5,10;
* MeasureSigma:输入用于平滑的高斯函数的sigma;默认值:1,参考值:0.4,0.6,0.8,1.0,1.5,2.0,3.0,4.0,5.0,7.0,10.0;
* MeasureThreshold:输入测量阈值;默认值:30,参考值:5.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 90.0, 110.0;
* GenParamName:输入参数名称;参考: ‘distance_threshold’, ‘end_phi’, ‘instances_outside_measure_regions’, ‘max_num_iterations’, ‘measure_distance’, ‘measure_interpolation’, ‘measure_select’, ‘measure_transition’, ‘min_score’, ‘num_instances’, ‘num_measures’, ‘point_order’, ‘rand_seed’, ‘start_phi’;
* GenParamValue:输入参数值;参考:1, 2, 3, 4, 5, 10, 20, ‘all’, ‘true’, ‘false’, ‘first’, ‘last’, ‘positive’, ‘negative’, ‘uniform’, ‘nearest_neighbor’, ‘bilinear’, ‘bicubic’;
* Index:输出创建测量对象的索引值;
add_metrology_object_line_measure (MetrologyHandle, Row1, Column1, Row2, Column2, 20, 5, 1, 30, [], [], Index)
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原文链接:https://blog.csdn.net/cjh16606260986/article/details/136291046