private void ComboBox_SelectionChanged(object sender, System.Windows.Controls.SelectionChangedEventArgs e)
{
if (_histogram != null)
{
_histogram.ResetToDefault();
}
var val = (e.AddedItems[0] as ComboBoxItem);
switch (val.Content as string)
{
case "Ręczna":
_binarization = new LevelBinarization(_directBitmap, _histogram);
BinarizationLevelChangeable = true;
break;
case "Selekcja czarnego":
_binarization = new BlackSelectionBinarization(_directBitmap, _histogram);
BinarizationLevelChangeable = true;
break;
case "Selekcja średniej":
_binarization = new MeanSelectionBinarization(_directBitmap, _histogram);
_binarization.Binarize(100);
ImageCanvas.Source = BitmapConverter.GetBitmapSource(_directBitmap.Bitmap);
BinarizationLevelChangeable = false;
break;
case "Entropia":
_binarization = new EntropySelectionBinarization(_directBitmap, _histogram);
BinarizationLevelChangeable = true;
break;
}
}
public static double[,] CreatTemplateTest(double[,] imgDoubles)
{
imgDoubles.DoNormalization(100, 100);
int[,] imgInts = imgDoubles.Select2D((x => (int)x));
OrientationField orf = new OrientationField(imgInts, 16);
double[,] orient = orf.GetOrientationMatrix(imgInts.GetLength(0), imgInts.GetLength(1));
var freqMatrx = LocalRidgeFrequency.GetFrequencies(imgDoubles, orient);
var res = ImageEnhancement.Enhance(imgDoubles, orient, freqMatrx, 32, 8);
return(ImageBinarization.Binarize2D(res, 128));
}
public void BinarializationTest()
{
double[,] arrayD = ImageHelper.LoadImage <double>(Resources._1test);
var binarizatedImageDouble = ImageBinarization.Binarize2D(arrayD, 128);
for (int i = 0; i < arrayD.GetLength(0); i++)
{
for (int j = 0; j < arrayD.GetLength(1); j++)
{
if (arrayD[i, j] < 128)
{
arrayD[i, j] = 0;
}
else
{
arrayD[i, j] = 255;
}
// Check binarizatedImageDouble
Assert.AreEqual(arrayD[i, j], binarizatedImageDouble[i, j]);
}
}
ImageHelper.SaveArrayToBitmap(binarizatedImageDouble).Save(Path.GetTempPath() + Guid.NewGuid() + ".bmp");
int[,] arrayI = ImageHelper.LoadImage <int>(Resources._2_6);
var binarizatedImageInt = ImageBinarization.Binarize2D(arrayI, 128);
for (int i = 0; i < arrayI.GetLength(0); i++)
{
for (int j = 0; j < arrayI.GetLength(1); j++)
{
if (arrayI[i, j] < 128)
{
arrayI[i, j] = 0;
}
else
{
arrayI[i, j] = 255;
}
// Check binarizatedImageInt
Assert.AreEqual(arrayI[i, j], binarizatedImageInt[i, j]);
}
}
ImageHelper.SaveArrayToBitmap(binarizatedImageInt).Save("d://Result.bmp");
}
public void Show(string filePath, OpenMode openMode)
{
if (openMode == OpenMode.PPM)
{
_bitmap = LoadPPMImage(filePath);
}
else
{
_bitmap = LoadImage(filePath);
}
_directBitmap = new DirectBitmap(_bitmap);
_histogram = new Histogram(_directBitmap);
_binarization = new LevelBinarization(_directBitmap, _histogram);
GridSpectro.DataContext = _histogram;
PointTransformation.InitTransform(_directBitmap);
Title = filePath;
ImageCanvas.Source = BitmapConverter.GetBitmapSource(_bitmap);
Show();
}
