private void FindLicensePlate()
{
Image <Bgr, Byte> simage = src.Copy(); //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.IplDepth.IplDepth_8U, 1);
//灰度化
// CvInvoke.CvtColor(simage.Mat, GrayImg, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);
//首先创建一张16深度有符号的图像区域
// IntPtr Sobel = CvInvoke.cvCreateImage(simage.Size, Emgu.CV.CvEnum.IplDepth.IplDepth16S, 1);
//X方向的Sobel算子检测
CvInvoke.Sobel(GrayImg, GrayImg, Emgu.CV.CvEnum.DepthType.Cv16S, 2, 0, 3);
// IntPtr temp = CvInvoke.cvCreateImage(simage.Size, Emgu.CV.CvEnum.IplDepth.IplDepth_8U, 1);
CvInvoke.cvConvertScale(GrayImg, GrayImg, 0.00390625, 0);
////int it = ComputeThresholdValue(GrayImg.ToBitmap());
////二值化处理
////Image<Gray, Byte> dest = GrayImg.ThresholdBinary(new Gray(it), new Gray(255));
Image <Gray, Byte> dest = new Image <Gray, Byte>(simage.Width, simage.Height);
//二值化处理
CvInvoke.Threshold(GrayImg, dest, 0, 255, Emgu.CV.CvEnum.ThresholdType.Otsu);
// IntPtr temp1 = CvInvoke.cvCreateImage(simage.Size, Emgu.CV.CvEnum.IplDepth.IplDepth_8U, 1);
Image <Gray, Byte> dest1 = new Image <Gray, Byte>(simage.Width, simage.Height);
//定义内核
Mat element = CvInvoke.GetStructuringElement(Emgu.CV.CvEnum.ElementShape.Rectangle, new Size(5, 5), new Point(2, 2));
// CvInvoke.CreateStructuringElementEx(3, 1, 1, 0, Emgu.CV.CvEnum.CV_ELEMENT_SHAPE.CV_SHAPE_RECT, temp1);
CvInvoke.Dilate(dest, dest1, element, new Point(1, 1), 1, Emgu.CV.CvEnum.BorderType.Default, new MCvScalar(255, 0, 0, 255));
CvInvoke.Erode(dest1, dest1, element, new Point(1, 1), 1, Emgu.CV.CvEnum.BorderType.Default, new MCvScalar(255, 0, 0, 255));
CvInvoke.Dilate(dest1, dest1, element, new Point(1, 1), 1, Emgu.CV.CvEnum.BorderType.Default, new MCvScalar(255, 0, 0, 255));
CvInvoke.CreateStructuringElementEx(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.IplDepth.IplDepth_8U, 3);
CvInvoke.cvZero(dst);
//dest.Dilate(10);
//dest.Erode(5);
using (MemStorage stor = new MemStorage())
{
CvInvoke.FindContours(dest1,
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.cvNamedWindow("dst");
//CvInvoke.cvShowImage("dst", dst);
imageBox1.Image = simage;
}
}
}
}
}
