C# open cv即emgu cv 定位車牌思路及代碼

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最近沒什麼事，公司領導希望我們瞭解影像處理，所以學習了以下！由於我不太會C++，只能試著用C#編寫代碼！但是網上關於emgu cv的資料少之又少，而且很多還是英文的，而且講的不詳細。所以慢慢琢磨。寫了個c#定位車牌的代碼，不過效果不是很理想。參考了c++高手的代碼！

思路就是1.灰階化，豎向邊緣檢測

2.自適應二值化處理

3.形態學處理（膨脹和腐蝕）

4.輪廓尋找與篩選

代碼如下：

            Image<Bgr, Byte> simage = img;    //new Image<Bgr, byte>("license-plate.jpg");            //Image<Bgr, Byte> simage = sizeimage.Resize(400, 300, Emgu.CV.CvEnum.INTER.CV_INTER_NN);            Image<Gray, Byte> GrayImg = new Image<Gray, Byte>(simage.Width, simage.Height);            IntPtr GrayImg1 = CvInvoke.cvCreateImage(simage.Size, Emgu.CV.CvEnum.IPL_DEPTH.IPL_DEPTH_8U, 1);            //灰階化            CvInvoke.cvCvtColor(simage.Ptr, GrayImg1, Emgu.CV.CvEnum.COLOR_CONVERSION.BGR2GRAY);            //首先建立一張16深度有符號的映像地區            IntPtr Sobel = CvInvoke.cvCreateImage(simage.Size, Emgu.CV.CvEnum.IPL_DEPTH.IPL_DEPTH_16S, 1);            //X方向的Sobel運算元檢測            CvInvoke.cvSobel(GrayImg1, Sobel, 2, 0, 3);            IntPtr temp = CvInvoke.cvCreateImage(simage.Size, Emgu.CV.CvEnum.IPL_DEPTH.IPL_DEPTH_8U, 1);            CvInvoke.cvConvertScale(Sobel, temp, 0.00390625, 0);            ////int it = ComputeThresholdValue(GrayImg.ToBitmap());            ////二值化處理            ////Image<Gray, Byte> dest = GrayImg.ThresholdBinary(new Gray(it), new Gray(255));            Image<Gray, Byte> dest = new Image<Gray, Byte>(simage.Width, simage.Height);            //二值化處理            CvInvoke.cvThreshold(temp, dest, 0, 255, Emgu.CV.CvEnum.THRESH.CV_THRESH_OTSU);            IntPtr temp1 = CvInvoke.cvCreateImage(simage.Size, Emgu.CV.CvEnum.IPL_DEPTH.IPL_DEPTH_8U, 1);            Image<Gray, Byte> dest1 = new Image<Gray, Byte>(simage.Width, simage.Height);            CvInvoke.cvCreateStructuringElementEx(3, 1, 1, 0, Emgu.CV.CvEnum.CV_ELEMENT_SHAPE.CV_SHAPE_RECT, temp1);            CvInvoke.cvDilate(dest, dest1, temp1, 6);            CvInvoke.cvErode(dest1, dest1, temp1, 7);            CvInvoke.cvDilate(dest1, dest1, temp1, 1);            CvInvoke.cvCreateStructuringElementEx(1, 3, 0, 1, Emgu.CV.CvEnum.CV_ELEMENT_SHAPE.CV_SHAPE_RECT, temp1);            CvInvoke.cvErode(dest1, dest1, temp1, 2);            CvInvoke.cvDilate(dest1, dest1, temp1, 2);            IntPtr dst = CvInvoke.cvCreateImage(simage.Size, Emgu.CV.CvEnum.IPL_DEPTH.IPL_DEPTH_8U, 3);            CvInvoke.cvZero(dst);            //dest.Dilate(10);            //dest.Erode(5);            using (MemStorage stor = new MemStorage())            {                Contour<Point> contours = dest1.FindContours(                    Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE,                    Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_CCOMP,                    stor);                for (; contours != null; contours = contours.HNext)                {                    Rectangle box = contours.BoundingRectangle;                    Image<Bgr, Byte> test = simage.CopyBlank();                    test.SetValue(255.0);                    double whRatio = (double)box.Width / box.Height;                    int area = (int)box.Width * box.Height;                    if (area > 1000 && area<10000)                    {                        if ((3.0 < whRatio && whRatio < 6.0))                        {                            test.Draw(box, new Bgr(Color.Red), 2);                            simage.Draw(box, new Bgr(Color.Red), 2);                            CvInvoke.cvRectangle(simage, new Point(box.X, box.Y),                                new Point(box.X + box.Width, box.Y + box.Height), new MCvScalar(255, 0, 0), 1,                                Emgu.CV.CvEnum.LINE_TYPE.EIGHT_CONNECTED, 0);                            //CvInvoke.cvNamedWindow("dst");                            //CvInvoke.cvShowImage("dst", dst);                            imageBox1.Image = simage;                        }                    }                }            }

 

還是有一些細節沒處理好啊

C# open cv即emgu cv 定位車牌思路及代碼