/// <summary>
/// Applies convolution matrix/kernel to image.
/// i.e. edge detection.
/// </summary>
/// <param name="bitmap">Image to apply kernel to</param>
/// <param name="convolutionType">Type of convolution</param>
/// <returns>Bitmap with kernel applied</returns>
public static Bitmap ApplyKernel(Bitmap bitmap, ConvolutionType convolutionType)
{
// Get convolution kernel to apply
int[,] matrix = convolutionType.GetConvolutionMatrix();
return(ApplyKernel(bitmap, matrix));
}
public void TestGetConvolutionMatrix()
{
ConvolutionType type = ConvolutionType.Smoothing;
// 2D matrix
int[,] matrix = type.GetConvolutionMatrix();
for (int i = 0; i < matrix.GetLength(0); i++)
{
for (int j = 0; j < matrix.GetLength(1); j++)
{
// Smoothing filter contains all 1's
Assert.AreEqual(1, matrix.GetValue(i, j));
}
}
}
/// <summary>
/// Applies convolution matrix/kernel to image.
/// </summary>
/// <typeparam name="T">Image type to process and return</typeparam>
/// <param name="image">Image to apply kernel to</param>
/// <param name="convolutionType">Type of convolution</param>
/// <returns>Image with kernel applied</returns>
public static T ApplyKernel <T>(T image, ConvolutionType convolutionType) where T : Image
{
return(ApplyKernel(image, convolutionType.GetConvolutionMatrix()));
}
