public void SauvolaTest2()
{
double[,] diag = Matrix.Magic(5);
Bitmap input;
new MatrixToImage().Convert(diag, out input);
// Create a new Variance filter
SauvolaThreshold filter = new SauvolaThreshold();
Assert.AreEqual(PixelFormat.Format8bppIndexed, input.PixelFormat);
// Apply the filter
Bitmap output = filter.Apply(input);
double[,] actual;
new ImageToMatrix().Convert(output, out actual);
Assert.AreEqual(PixelFormat.Format8bppIndexed, output.PixelFormat);
string str = actual.ToString(CSharpMatrixFormatProvider.InvariantCulture);
double[,] expected = new double[,]
{
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 }
};
Assert.IsTrue(expected.IsEqual(actual, 1e-6));
}
private void SetFilter()
{
ImageType = ImageTypes.Rgb24bpp;
Af.SauvolaThreshold newFilter = new Af.SauvolaThreshold();
newFilter.K = k;
newFilter.R = Remap(r, 0, 255);
newFilter.Radius = radius;
imageFilter = newFilter;
}
public void SauvolaTest1()
{
Bitmap image = Accord.Imaging.Image.Clone(Properties.Resources.lena512);
SauvolaThreshold sauvola = new SauvolaThreshold();
Bitmap result = sauvola.Apply(image);
// ImageBox.Show(result);
Assert.IsNotNull(result);
}
public void SauvolaTest3()
{
double[,] diag = Matrix.Magic(5);
Bitmap input;
new MatrixToImage()
{
Format = PixelFormat.Format32bppRgb,
}.Convert(diag, out input);
Assert.AreEqual(PixelFormat.Format32bppRgb, input.PixelFormat);
SauvolaThreshold filter = new SauvolaThreshold();
// Apply the filter
Bitmap output = filter.Apply(input);
Assert.AreEqual(PixelFormat.Format32bppRgb, output.PixelFormat);
double[,] actual;
for (int i = 0; i < 3; i++)
{
new ImageToMatrix()
{
Channel = i
}.Convert(output, out actual);
string str = actual.ToString(CSharpMatrixFormatProvider.InvariantCulture);
double[,] expected = new double[,]
{
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 },
{ 1, 1, 1, 1, 1 }
};
Assert.IsTrue(expected.IsEqual(actual, 1e-6));
}
}
