Question

您正在使用 HoughLines Method 来检测来自相机的线条，我已经过滤了我的图片＆＃34; imgProcessed＆＃34;使用 ROI 意味着只获取黑色对象以使跟踪变得简单，然后当我打算使用HoughLines方法时，它会给我一个错误，即我的＆＃34; CannyEdges＆＃34;有一些无效的参数，这是我的代码：

Image<Gray, Byte> gray = imgProcessed.Convert<Gray, Byte>().PyrDown().PyrUp();
        Gray cannyThreshold = new Gray(180);
        Gray cannyThresholdLinking = new Gray(120);
        Gray circleAccumulatorThreshold = new Gray(120);
        Image<Gray, Byte> cannyEdges = gray.Canny(cannyThreshold, cannyThresholdLinking);


        LineSegment2D[] lines = imgProcessed.cannyEdges.HoughLines(
                                cannyThreshold,
                                cannyThresholdLinking,
                                1,                  //Distance resolution in pixel-related units
                                Math.PI / 45.0,     //Angle resolution measured in radians.
                                50,                 //threshold
                                100,                //min Line width
                                1                   //gap between lines
                                )[0];               //Get the lines from the first channel

Answer 1

我编辑了我的代码＆amp;它有效，我已经设计了两个部分：第一部分，我已经检测到了canny边缘而不是使用 HoughLines方法来自动检测它，而第二部分我已经使用了 HoughLinesBinary方法而不是 HoughLines 参数较少，这里是代码：

        Image<Gray, Byte> gray1 = imgProcessed.Convert<Gray, Byte>().PyrDown().PyrUp();
        Image<Gray, Byte> cannyGray = gray1.Canny(120, 180);
        imgProcessed = cannyGray;

        LineSegment2D[] lines = imgProcessed.HoughLinesBinary(
                                1,                  //Distance resolution in pixel-related units
                                Math.PI / 45.0,     //Angle resolution measured in radians.
                                50,                 //threshold
                                100,                //min Line width
                                1                   //gap between lines
                                )[0];               //Get the lines from the first channel

HoughLines无效的参数

1 个答案: