Emgucv图像处理二

Emgucv图像处理

阈值Threshold

 private void button7_Click(object sender, EventArgs e){//阈值Mat scr = new Mat("001.jpg", Emgu.CV.CvEnum.ImreadModes.Grayscale);Mat dst = new Mat();CvInvoke.Threshold(scr, dst, 60, 255, ThresholdType.Binary);Mat dst1 = new Mat();CvInvoke.Threshold(scr, dst1, 60, 255, ThresholdType.BinaryInv);Mat dst2 = new Mat();CvInvoke.Threshold(scr, dst2, 60, 255, ThresholdType.Otsu);Mat dst3 = new Mat();CvInvoke.Threshold(scr, dst3, 10, 255, ThresholdType.ToZero);Mat dst4 = new Mat();CvInvoke.Threshold(scr, dst4, 10, 255, ThresholdType.ToZeroInv);Mat dst5 = new Mat();CvInvoke.Threshold(scr, dst5, 60, 255, ThresholdType.Trunc);imageBox1.Image = scr;imageBox2.Image = dst;imageBox3.Image = dst1;imageBox3.Image = dst2;imageBox3.Image = dst3;imageBox3.Image = dst4;imageBox3.Image = dst5;}

局部阈值AdaptiveThreshold

private void button8_Click(object sender, EventArgs e){//局部阈值Mat scr = new Mat("002.jpg", Emgu.CV.CvEnum.ImreadModes.Grayscale);Mat dst = new Mat();CvInvoke.AdaptiveThreshold(scr, dst, 255, AdaptiveThresholdType.GaussianC,Emgu.CV.CvEnum.ThresholdType.BinaryInv, 3, -10);imageBox1.Image = scr;imageBox2.Image = dst;}

中值滤波MedianBlur

private void button9_Click(object sender, EventArgs e){//中值滤波Mat scr = new Mat("003.jpg", Emgu.CV.CvEnum.ImreadModes.AnyColor);Mat dst = new Mat();CvInvoke.MedianBlur(scr, dst, 3);imageBox1.Image = scr;imageBox2.Image = dst;}

均值滤波Blur

 private void button10_Click(object sender, EventArgs e){//均值滤波Mat scr = new Mat("003.jpg", Emgu.CV.CvEnum.ImreadModes.AnyColor);Mat dst = new Mat();CvInvoke.Blur(scr, dst,new Size(3,3),new Point(-1,1));imageBox1.Image = scr;imageBox2.Image = dst;}

 高斯滤波GaussianBlur

 private void button11_Click(object sender, EventArgs e){//高斯滤波Mat scr = new Mat("003.jpg", Emgu.CV.CvEnum.ImreadModes.AnyColor);Mat dst = new Mat();CvInvoke.GaussianBlur(scr, dst, new Size(3, 3),3);imageBox1.Image = scr;imageBox2.Image = dst;}

双边滤波BilateralFilter

 private void button12_Click(object sender, EventArgs e){//双边滤波Mat scr = new Mat("001.jpg", Emgu.CV.CvEnum.ImreadModes.AnyColor);Mat dst = new Mat();CvInvoke.BilateralFilter(scr, dst, 10,100,15);imageBox1.Image = scr;imageBox2.Image = dst;}

方框滤波BoxFilter

private void button13_Click(object sender, EventArgs e){//方框滤波Mat scr = new Mat("002.jpg", Emgu.CV.CvEnum.ImreadModes.AnyColor);Mat dst = new Mat();CvInvoke.BoxFilter(scr, dst,DepthType.Cv8U,new Size(5,5),new Point(-1,-1));imageBox1.Image = scr;imageBox2.Image = dst;}

自定义滤波Filter2D

        private void button14_Click(object sender, EventArgs e){//自定义滤波int[,,] data=new int[,,]{{{-1},{0},{1}},{{-2},{0},{2}},{{-1},{0},{1}}};Image<Gray,int> kernel=new Image<Gray,int> (data);Mat scr = new Mat("002.jpg", Emgu.CV.CvEnum.ImreadModes.AnyColor);Mat dst = new Mat("002.jpg", Emgu.CV.CvEnum.ImreadModes.AnyColor);CvInvoke.Filter2D(scr, dst,kernel, new Point(-1,-1));// CvInvoke.Normalize(dst, dst, 0, 255, NormType.MinMax);imageBox1.Image = scr;imageBox2.Image = dst;}

腐蚀Erode

 private void button15_Click(object sender, EventArgs e){//腐蚀Mat scr = new Mat("002.jpg", ImreadModes.AnyColor);Mat dst = new Mat();Mat struct_element = CvInvoke.GetStructuringElement(ElementShape.Rectangle, new Size(3, 3), new Point(-1, -1));CvInvoke.Erode(scr, dst, struct_element, new Point(-1, -1), 1, BorderType.Default, new MCvScalar(0, 0, 0));imageBox1.Image = scr;imageBox2.Image = dst;}

膨胀Dilate

private void button16_Click(object sender, EventArgs e){//膨胀Mat scr = new Mat("002.jpg", ImreadModes.AnyColor);Mat dst = new Mat();Mat struct_element = CvInvoke.GetStructuringElement(ElementShape.Rectangle, new Size(3, 3), new Point(-1, -1));CvInvoke.Dilate(scr, dst, struct_element, new Point(-1, -1), 1, BorderType.Default, new MCvScalar(0, 0, 0));imageBox1.Image = scr;imageBox2.Image = dst;}

闭运算，先膨胀后腐蚀MorphologyEx--MorphOp.Close

private void button17_Click(object sender, EventArgs e){//闭运算，先膨胀后腐蚀Mat scr = new Mat("002.jpg", ImreadModes.AnyColor);Mat dst = new Mat();Mat struct_element = CvInvoke.GetStructuringElement(ElementShape.Rectangle, new Size(3, 3), new Point(-1, -1));CvInvoke.MorphologyEx(scr, dst,MorphOp.Close, struct_element, new Point(-1, -1), 3, BorderType.Default,new MCvScalar(0, 0, 0));imageBox1.Image = scr;imageBox2.Image = dst;}

开运算，先膨胀后腐蚀MorphologyEx--MorphOp.Open

 private void button18_Click(object sender, EventArgs e){//开运算，先膨胀后腐蚀Mat scr = new Mat("002.jpg", ImreadModes.AnyColor);Mat dst = new Mat();Mat struct_element = CvInvoke.GetStructuringElement(ElementShape.Rectangle, new Size(3, 3), new Point(-1, -1));CvInvoke.MorphologyEx(scr, dst, MorphOp.Open, struct_element, new Point(-1, -1), 1, BorderType.Default,new MCvScalar(0, 0, 0));imageBox1.Image = scr;imageBox2.Image = dst;}

形态学梯度MorphologyEx--MorphOp.Gradient

 private void button19_Click(object sender, EventArgs e){//形态学梯度Mat scr = new Mat("002.jpg", ImreadModes.AnyColor);Mat dst = new Mat();Mat struct_element = CvInvoke.GetStructuringElement(ElementShape.Rectangle, new Size(3, 3), new Point(-1, -1));CvInvoke.MorphologyEx(scr, dst, MorphOp.Gradient, struct_element, new Point(-1, -1),1, BorderType.Default,new MCvScalar(0, 0, 0));imageBox1.Image = scr;imageBox2.Image = dst;}

高帽MorphologyEx--MorphOp.Tophat

private void button20_Click(object sender, EventArgs e){//高帽Mat scr = new Mat("002.jpg", ImreadModes.AnyColor);Mat dst = new Mat();Mat struct_element = CvInvoke.GetStructuringElement(ElementShape.Rectangle, new Size(3, 3), new Point(-1, -1));CvInvoke.MorphologyEx(scr, dst, MorphOp.Tophat, struct_element, new Point(-1, -1), 1, BorderType.Default,new MCvScalar(0, 0, 0));imageBox1.Image = scr;imageBox2.Image = dst;}

低帽MorphologyEx--MorphOp.Blackhat

   private void button21_Click(object sender, EventArgs e){//低帽Mat scr = new Mat("002.jpg", ImreadModes.AnyColor);Mat dst = new Mat();Mat struct_element = CvInvoke.GetStructuringElement(ElementShape.Rectangle, new Size(3, 3), new Point(-1, -1));CvInvoke.MorphologyEx(scr, dst, MorphOp.Blackhat, struct_element, new Point(-1, -1), 1, BorderType.Default,new MCvScalar(0, 0, 0));imageBox1.Image = scr;imageBox2.Image = dst;}