后续将不定期补充在使用EmguCV过程中的一些笔记，如何调用api实现相应功能。
1、查找对应的轮廓
IntPtr Dyncontour = new IntPtr();//存放检测到的图像块的首地址 IntPtr Dynstorage = CvInvoke.cvCreateMemStorage(0);//开辟内存区域 int m = 88; int n = CvInvoke.cvFindContours(image, Dynstorage, ref Dyncontour, m, Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_EXTERNAL, Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE, new Point(1, 1)); Seq
header = new Seq
(Dyncontour, null); Seq
contourTemp = header; MemStorage stor = new MemStorage(); while (contourTemp != null)// 获取符合条件的轮廓 { image.Draw(contourTemp.BoundingRectangle, new Gray(255), 2); contourTemp = contourTemp.HNext; }
2、斑点检测
Emgu.CV.Cvb.CvBlobs resultingImgBlobs = new Emgu.CV.Cvb.CvBlobs(); Emgu.CV.Cvb.CvBlobDetector bDetect = new Emgu.CV.Cvb.CvBlobDetector(); uint numWebcamBlobsFound = bDetect.Detect(img, resultingImgBlobs); foreach (Emgu.CV.Cvb.CvBlob targetBlob in resultingImgBlobs.Values) { img.Draw(...); } 3、判断是否为圆
public int checkIfCircle(Emgu.CV.Cvb.CvBlob blob, double ratio) { int ret = 0; IntPtr Dyncontour = new IntPtr(); MemStorage Dynstorage = new MemStorage(); Dyncontour = blob.GetContour(Dynstorage); //通过拟合圆方法判断检测到的斑点是否为圆。 PointF pf = new PointF(0, 0); float radius = 0; CvInvoke.cvMinEnclosingCircle(Dyncontour, out pf, out radius); double cArea = 3.14 * radius * radius; if (cArea - blob.Area < cArea * ratio) // 如果拟合圆的面积跟斑点面积相差不大 {// 圆 ret = 1; } else { ret = 0; } Dynstorage.Dispose(); return ret; } houghline detection
Image
imgGray = img.Convert
(); MemStorage storage = new MemStorage(); IntPtr intPtrHoughLines = CvInvoke.cvHoughLines2(imgGray, storage, HOUGH_TYPE.CV_HOUGH_PROBABILISTIC, 1, Math.PI / 180, 50, 100, 10); Seq
lineSegment = new Seq
(intPtrHoughLines, storage); Seq
lineSegmentTemp = lineSegment; //画出检测结果 unsafe { for (int i = 0; i < lineSegment.Total; ++i) { Point* point = (Point*)CvInvoke.cvGetSeqElem(intPtrHoughLines, i); CvInvoke.cvLine(img, point[0], point[1], new MCvScalar(255, 0, 0), 2, LINE_TYPE.CV_AA, 0);//在原图像中画线 } } saveImg(TAG, img);
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