public void CalcuateMeanshift(Image <Bgra, byte> imgInput, int spatialWindow = 5, int colorWindow = 5, int MinSegmentSize = 20)
{
if (imgInput == null)
{
return;
}
try
{
Image <Bgra, byte> imgOutput = new Image <Bgra, byte>(imgInput.Width, imgInput.Height, new Bgra(0, 0, 0, 0));
//convert the image to BGRA as it requires a BGRA to pass it in constructor of CudaImage
CudaImage <Bgra, byte> _inputCuda = new CudaImage <Bgra, byte>(imgInput);
CudaInvoke.MeanShiftSegmentation(_inputCuda, imgOutput, spatialWindow, colorWindow, MinSegmentSize, new MCvTermCriteria(1, .001));
pictureBox2.Image = imgOutput.Bitmap;
}
catch (Exception ex)
{
MessageBox.Show("Meam shift error: " + ex.Message);
}
}
public static Image <Emgu.CV.Structure.Bgr, Byte> MeanShiftEmguCVCuda(Image <Bgr, Byte> image)
{
if (CudaInvoke.HasCuda == false)
{
throw new Exception("OpenCV: The library is compiled without CUDA support");
}
Image <Bgra, byte> imgInput = new Image <Bgra, byte>(image.Bitmap);
Image <Bgra, byte> imgOutput = new Image <Bgra, byte>(imgInput.Size);
CudaImage <Bgra, byte> cudaImage = new CudaImage <Bgra, byte>(imgInput);
int sp = 5;
int sr = 10;
int minsize = 50;
int criteria = 10; //No. iteration
CudaInvoke.MeanShiftSegmentation(cudaImage, imgOutput, sp, sr, minsize, new MCvTermCriteria(criteria));
Image <Bgr, byte> result = new Image <Bgr, byte>(imgOutput.Bitmap);
return(result);
}
