public RGBChannels ApplyConstrastEnhancement(RGBChannels image, ContrastType type, double quantil = 0.1)
{
if (contrastEnhancer == null)
{
contrastEnhancer = ContrastEnhancer.Instance();
}
RGBChannels output = image;
switch (type)
{
case ContrastType.AutoContrast:
output = contrastEnhancer.AutoContrast(image);
break;
case ContrastType.RobustContrast:
output = contrastEnhancer.RobustContrast(image, quantil);
break;
case ContrastType.HistogramEqualization:
output = contrastEnhancer.HistogramEqualization(image);
break;
}
return(output);
}
private void ChangeContrast(int contrastChange, ContrastType contrastType)
{
ImageOperations.ChangeContrast(SelectedImage.Bitmap, contrastChange, contrastType);
}
private void CalculateContrast(ref Mat src, ref Mat maskSrc, out double L, out double a, out double b, out double contrast, out double H, out double C, ContrastType type)
{
contrast = -1;
L = a = b = C = H = 0;
if (type == ContrastType.RMS)
{
Mat img = src;
Mat imgLab = new Mat(new OpenCvSharp.Size(img.Width, img.Height), MatType.CV_8UC3, 0);
Cv2.CvtColor(img, imgLab, ColorConversionCodes.LBGR2Lab);
Mat mask = maskSrc;
Scalar mean, std;
Cv2.MeanStdDev(imgLab, out mean, out std, mask);
L = mean.Val0 * 100 / 255;
a = mean.Val1 - 128;
b = mean.Val2 - 128;
contrast = std.Val0 / 255;
H = calc_H(ref a, ref b);
C = calc_C(ref a, ref b);
}
else if (type == ContrastType.Weber)
{
}
else if (type == ContrastType.Michelson)
{
}
}
public unsafe static void ChangeContrast(WriteableBitmap image, int contrastChange, ContrastType contrastType)
{
int[] contrastArray = new int[256];
if (contrastType.Equals(ContrastType.Decrease))
{
for (int i = 0; i < 256; i++)
{
contrastArray[i] = (int)(127 + (i - 127) * (255 - 2 * contrastChange) / 255 + 0.5);
}
}
else
{
for (int i = 0; i < 256; i++)
{
contrastArray[i] = (int)(127 + (i - 127) * 255 / (255 - 2 * contrastChange) + 0.5);
}
}
ChangePixelsValue(image, contrastArray, ColorChannel.All);
}
