public void BinaryDilation3x3Test1()
{
string basePath = NUnit.Framework.TestContext.CurrentContext.TestDirectory;
#region doc_binary_dilation_3x3
// Let's start with one of the default
// color test images in the framework:
var test = new TestImages(basePath);
// Let's get Lena's picture
Bitmap bmp = test["lena.bmp"];
// And transform it to a binary mask
// using Niblack's threshold class
var niblack = new NiblackThreshold();
Bitmap binary = niblack.Apply(bmp);
// The result can be seen below:
// ImageBox.Show(binary);
// Now, let's finally apply the dilation
// filter to the binarized image below:
var dil3x3 = new BinaryDilation3x3();
Bitmap result = dil3x3.Apply(binary);
// The result can be seen below:
// ImageBox.Show(result);
#endregion
//result.Save(@"C:\Projects\morpho-dilation3x3-result.png");
//binary.Save(@"C:\Projects\morpho-dilation3x3-binary.png");
}
public void NiblackTest2()
{
double[,] diag = Matrix.Magic(5);
Bitmap input;
new MatrixToImage().Convert(diag, out input);
// Create a new Variance filter
NiblackThreshold filter = new NiblackThreshold();
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[, ]
{
{ 0, 0, 1, 1, 0 },
{ 0, 1, 1, 0, 0 },
{ 1, 1, 0, 0, 0 },
{ 1, 0, 0, 0, 1 },
{ 1, 0, 0, 1, 1 }
};
Assert.IsTrue(expected.IsEqual(actual, 1e-6));
}
private void NiblackThreshold_Click(object sender, RoutedEventArgs e)
{
var niblack = new NiblackThreshold();
System.Drawing.Bitmap gray = Grayscale.CommonAlgorithms.RMY.Apply(canvasTool.getBitmapFromCanvas());
System.Drawing.Bitmap resault = niblack.Apply(gray);
canvasTool.SetBmpImageToCanvas(resault);
}
private void NiblackTransforms_Click(object sender, EventArgs e)
{
Bitmap img = new Bitmap(openSourceDialog.FileName);
NiblackThreshold niblack = new NiblackThreshold();
//niblack.Radius = Int32.Parse(paramsTextBox.Text);
niblack.K = -0.2;
resultPictureBox.Image = niblack.Apply(img);
}
private async Task NiblackBinaryzation(int size = 25, double k = 0.5)
{
AddToUndo(WriteableOutputImage.Clone());
ConvertToGrayScalePageMenuFlyoutItem_Click(null, null);
NiblackThreshold niblack = new NiblackThreshold(size, k);
WriteableOutputImage = niblack.Threshold(WriteableOutputImage);
await UpdateOutputImage();
}
public void NiblackTest1()
{
Bitmap image = Accord.Imaging.Image.Clone(Resources.lena512);
NiblackThreshold niblack = new NiblackThreshold();
Bitmap result = niblack.Apply(image);
// ImageBox.Show(result);
Assert.IsNotNull(result);
}
public void NiblackTest1()
{
Bitmap image = Properties.Resources.lena512;
NiblackThreshold niblack = new NiblackThreshold();
Bitmap result = niblack.Apply(image);
// ImageBox.Show(result);
Assert.IsNotNull(result);
}
/// <summary>
/// Binarize image with Niblack filter
/// </summary>
/// <param name="image"></param>
/// <param name="k"></param>
/// <param name="radius">radius of local area of pixel </param>
/// <returns></returns>
public static Bitmap NiblackBinarization(this Bitmap image, double k, int radius)
{
if (image.PixelFormat != PixelFormat.Format8bppIndexed)
{
throw new NotSupportedException("Filter can be applied to binary 8bpp images only");
}
var threshold = new NiblackThreshold()
{
K = k, Radius = radius
};
return(threshold.Apply(image));
}
public static Bitmap MorphologyNiblackBinarization(this Bitmap image, double k, int radius, int morphologyKernel, byte globalThreshold)
{
if (image.PixelFormat != PixelFormat.Format8bppIndexed)
{
throw new NotSupportedException("Filter can be applied to binary 8bpp images only");
}
Erosion morphologyErosion = new Erosion();
Bitmap tempMorphologyImage = morphologyErosion.Apply(image);
for (int i = 0; i < morphologyKernel - 1; i++)
{
tempMorphologyImage = morphologyErosion.Apply(tempMorphologyImage);
}
SimpleGrayImage morphologyImage = new SimpleGrayImage(tempMorphologyImage);
var threshold = new NiblackThreshold()
{
K = k, Radius = radius
};
SimpleGrayImage localBinImage = new SimpleGrayImage(threshold.Apply(image));
for (int i = 0; i < morphologyImage.Cols; i++)
{
for (int j = 0; j < morphologyImage.Rows; j++)
{
if (morphologyImage.Data[j, i] > globalThreshold)
{
morphologyImage.Data[j, i] = 255;
}
else
{
morphologyImage.Data[j, i] = localBinImage.Data[j, i];
}
}
}
return(morphologyImage.Bitmap);
}
