private void button3_Click(object sender, EventArgs e)
{
VectorOfMat channels = new VectorOfMat(); //创建vectorOfmat类型存储分离后的图像
CvInvoke.Split(src, channels); //通道分离
InputOutputArray mix_channel = channels.GetInputOutputArray(); //获得数组
Mat B_channel = mix_channel.GetMat(0); //获得第一通道
Mat G_channel = mix_channel.GetMat(1); //获得第二通道
Mat R_channel = mix_channel.GetMat(2); //获得第一通道
imageBox2.Image = B_channel; //显示第一通道
imageBox3.Image = G_channel; //显示第二通道
imageBox4.Image = R_channel; //显示第三通道
}
/// <summary>
/// Add salt-and-pepper noise to the given image.
/// </summary>
/// <param name="source"></param>
/// <returns></returns>
private IplImage Noise(IplImage source)
{
IplImage result = source.Clone();
Mat noise = new Mat(source.Height, source.Width, MatType.CV_32F);
InputOutputArray noiseArray = (InputOutputArray)noise;
Cv2.Randu(noiseArray, (Scalar)0, (Scalar)255);
noise = noiseArray.GetMat();
int bound = 5;
int upperBound = 255 - bound;
int lowerBound = 0 + bound;
float noiseValue;
for (int y = 0; y < source.Height; y++)
{
for (int x = 0; x < source.Width; x++)
{
noiseValue = noise.At <float>(y, x);
if (noiseValue >= upperBound)
{
result[y, x] = new CvScalar(255);
}
else if (noiseValue <= lowerBound)
{
result[y, x] = new CvScalar(0);
}
}
}
return(result);
}
private void button1_Click(object sender, EventArgs e)
{
Image <Hsv, byte> hsvImage = src.Convert <Hsv, byte>();
imageBox1.Image = hsvImage;
VectorOfMat channels = new VectorOfMat(); //创建vectorOfmat类型存储分离后的图像
CvInvoke.Split(hsvImage, channels); //通道分离
InputOutputArray mix_channel = channels.GetInputOutputArray(); //获得数组
Mat H_channel = mix_channel.GetMat(0); //获得第一通道
Mat S_channel = mix_channel.GetMat(1); //获得第二通道
Mat V_channel = mix_channel.GetMat(2); //获得第一通道
imageBox2.Image = H_channel; //显示第一通道
imageBox3.Image = S_channel; //显示第二通道
imageBox4.Image = V_channel; //显示第三通道
}
