private ImageData32 Filter2D(FilterType type, ImageData32 src)
{
float[,] kernel = GetFilter(type);
var dst = new ImageData32(512, 512);
int kernelW = kernel.GetLength(0);
int kernelH = kernel.GetLength(1);
int radius = (kernelH - 1) / 2;
for (int h = radius; h < src.Height - radius; h++)
{
for (int w = radius; w < src.Width - radius; w++)
{
float sum = 0.0f;
for (int kH = h - radius, ky = 0; kH < h - radius + kernelH; kH++, ky++)
{
for (int kW = w - radius, kx = 0; kW < w - radius + kernelW; kW++, kx++)
{
sum += src.Data[kH * src.Width + kW] * kernel[ky, kx];
}
}
dst.Data[h * src.Width + w] = sum;
}
}
return(dst);
}
private BitmapSource CreateBitMapsource(ImageData32 image)
{
int stride = image.Width * PixelFormats.Gray32Float.BitsPerPixel / 8;
BitmapSource bitmap = BitmapSource.Create(512, 512, 96, 96, PixelFormats.Gray32Float, null, image.Data, stride);
return(bitmap);
}
public MediaSample()
{
InitializeComponent();
this.imageData = new ImageData32(512, 512);
}
private void Gaussian_Button_Click(object sender, RoutedEventArgs e)
{
this.imageData = Filter2D(FilterType.Gauss, this.imageData);
this.displayImage.Source = CreateBitMapsource(this.imageData);
}
public ImageData32(ImageData32 data)
{
this.Data = new float[data.Width * data.Height];
this.Width = data.Width;
this.Height = data.Height;
}
