EMGU-WPF Learning using-rectangle recognition

Original: EMGU-WPF learning using-rectangle recognition

Environment: Win8 64-bit Vs2015

EMGU version: Emgucv-windesktop 3.2.0.2682

Example diagram Upper Flow: Image--grayscale--truncation thresholding-------------------------------

Grayscale Image<gray, byte> imggray = new Image<gray, byte> (imgsrc.size); Cvinvoke.cvtcolor (IMGSRC, Imggray, Colorconversion.bgr2gray);//Truncation Threshold Image<gray, byte> imgThresholdTrunc = new Image<gray, byte> (imggray.size); Cvinvoke.threshold (Imggray, Imgthresholdtrunc, 255, thresholdtype.trunc);//median blur Image<gray, byte> ImgMedian = Imgthresholdtrunc.smoothmedian (7); Using 5*5//Gaussian blur Image<gray, byte> Imggaussian = Imgmedian.smoothgaussian (5);//swell, eliminate clutter mat oMat2 = Cvinvoke.getstructuringelement (Emgu.CV.CvEnum.ElementShape.Rectangle, New System.Drawing.Size (5, 5), new System.Drawing.Point (0, 0)); Image<gray, byte> imgerode = new Image<gray, byte> (imggray.size); Cvinvoke.erode (Imggaussian, Imgerode, OMAT2, New System.Drawing.Point (0, 0), 4, Bordertype.default, new Mcvscalar (255, 0, 0, 255));//corrosion, eliminate the clutter point image<gray, byte> imgdilate = new Image<gray, byte> (imggray.size); Cvinvoke.dilate (Imgerode, Imgdilate, OMAT2, New System.Drawing.Point (0, 0), 4, Bordertype.default, new Mcvscalar (255, 0, 0, 255));//Otsu two value Image<gray, byte> Imgthresholdotsu = new I Mage<gray, byte> (imggray.size); Cvinvoke.threshold (imgdilate, Imgthresholdotsu, 0, 255, Thresholdtype.otsu);

Example diagram lower flow: Original image, grayscale--truncated thresholding---eliminate crack->ostu two, identify contours-> draw contours.

Grayscale Image<gray, byte> imggray = new Image<gray, byte> (imgsrc.size); Cvinvoke.cvtcolor (IMGSRC, Imggray, Colorconversion.bgr2gray);//Truncation Threshold Image<gray, byte> imgThresholdTrunc = new Image<gray, byte> (imggray.size); Cvinvoke.threshold (Imggray, Imgthresholdtrunc, 255, thresholdtype.trunc);//Remove crack mat OMAT1 = Cvinvoke.getstructuringelement (Emgu.CV.CvEnum.ElementShape.Rectangle, New System.Drawing.Size (6, 6), new System.Drawing.Point (0, 0)); Image<gray, byte> Imgmorphologyex = new Image<gray, byte> (imggray.size); Cvinvoke.morphologyex (Imgthresholdtrunc, Imgmorphologyex, Emgu.CV.CvEnum.MorphOp.Close, OMAT1, new System.Drawing.Point (0, 0), 1, Bordertype.default, new Mcvscalar (255, 0, 0, 255));//Otsu two value Image<gray, byte> img Thresholdotsu = new Image<gray, byte> (imggray.size); Cvinvoke.threshold (Imgmorphologyex, Imgthresholdotsu, 0, 255, Thresholdtype.otsu); list<rotatedrect> boxlist = new list<rotatedrect> (); A box is a rotated Rectanglevectorofvectorofpoint contours = new Vectorofvectorofpoint (); Cvinvoke.findcontours (Imgthresholdotsu, contours, null, retrtype.list, chainapproxmethod.chainapproxsimple); Image &LT;BGR, byte> imgresult = new IMAGE&LT;BGR, byte> (imggray.size); Cvinvoke.cvtcolor (Imgthresholdotsu, Imgresult, COLORCONVERSION.GRAY2BGR); Mcvscalar Oscaler = new Mcvscalar (+, 255, 255, 255); int count = contours. size;for (int i = 0; i < count; i++) {using (Vectorofpoint contour = contours[i]) using (Vectorofpoint Approxcont our = new Vectorofpoint ()) {CVINVOKE.APPROXPOLYDP (contour, Approxcontour, cvinvoke.arclength (contour, True) * 0        ., true);        Double Darea = Cvinvoke.contourarea (Approxcontour, false);            if (Darea > Imgthresholdotsu.rows * imgthresholdotsu.cols/3d) {if (approxcontour.size = = 4) {#region Determine if all the angles in the contour is within [+] degree bool I    Srectangle = true;            System.drawing.point[] pts = Approxcontour.toarray ();                linesegment2d[] edges = Emgu.CV.PointCollection.PolyLine (pts, true); for (int j = 0; J < edges. Length; J + +) {Double angle = Math.Abs (edges[(j + 1)% edges. Length].                    Getexteriorangledegree (Edges[j]));                        if (Angle < | | angle >) {isrectangle = false;                    Break }} #endregion if (isrectangle) cvinvoke.drawcontours (imgr            Esult, contours, I, oscaler, 3); }        }    }}

EMGU-WPF Learning using-rectangle recognition