public static void TestConvolve(int kernelSize)
{
var bmp = (System.Drawing.Bitmap)System.Drawing.Bitmap.FromFile(colorImgName);
var smallIm = bmp.ToImage <Bgr, byte>(); /*.Resize(new Size(320, 240), InterpolationMode.NearestNeighbor);*/ //AForge convolution takes too long
var image = smallIm.Convert <Bgr, float>(); //do not measure converting byte->float and float->byte
UnmanagedImage uIm = smallIm.ToAForgeImage(copyAlways: true);
var floatKernel = Matrix.Random(kernelSize, kernelSize, 0, 255).ToSingle();
int[,] intKernel = floatKernel.ToImage().Convert <Gray, int>().ToArray();
measure(() =>
{
image.Convolve(floatKernel);
},
() =>
{
AForge.Imaging.Filters.Convolution c = new AForge.Imaging.Filters.Convolution(intKernel);
c.Apply(uIm);
},
2,
"Image<,> Convolve",
"AForge Convolve");
}
public static void TestConvolve(int kernelSize)
{
var bmp = (System.Drawing.Bitmap)System.Drawing.Bitmap.FromFile(colorImgName);
var smallIm = bmp.ToImage<Bgr, byte>();/*.Resize(new Size(320, 240), InterpolationMode.NearestNeighbor);*/ //AForge convolution takes too long
var image = smallIm.Convert<Bgr, float>(); //do not measure converting byte->float and float->byte
UnmanagedImage uIm = smallIm.ToAForgeImage(copyAlways: true);
var floatKernel = Matrix.Random(kernelSize, kernelSize, 0, 255).ToSingle();
int[,] intKernel = floatKernel.ToImage().Convert<Gray, int>().ToArray();
measure(() =>
{
image.Convolve(floatKernel);
},
() =>
{
AForge.Imaging.Filters.Convolution c = new AForge.Imaging.Filters.Convolution(intKernel);
c.Apply(uIm);
},
2,
"Image<,> Convolve",
"AForge Convolve");
}
/// <summary>
/// Generates the filtered Image.
/// </summary>
public Bitmap process(Bitmap frame)
{
// create filter
AForge.Imaging.Filters.Convolution filter = new AForge.Imaging.Filters.Convolution(matrix);
// apply the filter
filter.ApplyInPlace(frame);
return frame;
}
