// Gather statistics
private void ProcessImage(BitmapData imageData, int width, int height)
{
pixels = pixelsWithoutBlack = 0;
int[] s = new int[256];
int[] l = new int[256];
int[] swb = new int[256];
int[] lwb = new int[256];
RGB rgb = new RGB( );
HSL hsl = new HSL( );
int offset = imageData.Stride - width * 3;
// do the job
unsafe
{
byte *p = (byte *)imageData.Scan0.ToPointer( );
// for each line
for (int y = 0; y < height; y++)
{
// for each pixel
for (int x = 0; x < width; x++, p += 3)
{
rgb.Red = p[RGB.R];
rgb.Green = p[RGB.G];
rgb.Blue = p[RGB.B];
// convert to HSL color space
AForge.Imaging.ColorConverter.RGB2HSL(rgb, hsl);
s[(int)(hsl.Saturation * 255)]++;
l[(int)(hsl.Luminance * 255)]++;
pixels++;
if ((hsl.Hue != 0.0) || (hsl.Luminance != 0.0) || (hsl.Saturation != 0.0))
{
swb[(int)(hsl.Saturation * 255)]++;
lwb[(int)(hsl.Luminance * 255)]++;
pixelsWithoutBlack++;
}
}
p += offset;
}
}
// create histograms
saturation = new HistogramD(s, new RangeD(0, 1));
luminance = new HistogramD(l, new RangeD(0, 1));
saturationWithoutBlack = new HistogramD(swb, new RangeD(0, 1));
luminanceWithoutBlack = new HistogramD(lwb, new RangeD(0, 1));
}
public unsafe ImageStatistics(Bitmap image, bool collectHSL)
{
int width = image.Width;
int height = image.Height;
this.pixels = width * height;
if (this.grayscale = image.PixelFormat == PixelFormat.Format8bppIndexed)
{
BitmapData bitmapdata = image.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadOnly, PixelFormat.Format8bppIndexed);
int[] values = new int[0x100];
int num3 = bitmapdata.Stride - width;
byte * numPtr = (byte *)bitmapdata.Scan0.ToPointer();
for (int i = 0; i < height; i++)
{
int num5 = 0;
while (num5 < width)
{
values[numPtr[0]]++;
num5++;
numPtr++;
}
numPtr += num3;
}
image.UnlockBits(bitmapdata);
this.gray = new Histogram(values);
}
else
{
BitmapData data2 = image.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);
int[] numArray2 = new int[0x100];
int[] numArray3 = new int[0x100];
int[] numArray4 = new int[0x100];
int[] numArray5 = new int[0x100];
int[] numArray6 = new int[0x100];
RGB rgb = new RGB();
HSL hsl = new HSL();
int num6 = data2.Stride - (width * 3);
byte * numPtr2 = (byte *)data2.Scan0.ToPointer();
for (int j = 0; j < height; j++)
{
int num8 = 0;
while (num8 < width)
{
numArray2[numPtr2[2]]++;
numArray3[numPtr2[1]]++;
numArray4[numPtr2[0]]++;
if (collectHSL)
{
rgb.Red = numPtr2[2];
rgb.Green = numPtr2[1];
rgb.Blue = numPtr2[0];
if (collectHSL)
{
GodLesZ.Library.Imaging.ColorConverter.RGB2HSL(rgb, hsl);
numArray5[(int)(hsl.Saturation * 255.0)]++;
numArray6[(int)(hsl.Luminance * 255.0)]++;
}
}
num8++;
numPtr2 += 3;
}
numPtr2 += num6;
}
image.UnlockBits(data2);
this.red = new Histogram(numArray2);
this.green = new Histogram(numArray3);
this.blue = new Histogram(numArray4);
if (collectHSL)
{
this.saturation = new HistogramD(numArray5, new RangeD(0.0, 1.0));
this.luminance = new HistogramD(numArray6, new RangeD(0.0, 1.0));
}
}
}
// Gather statistics
private void ProcessImage(BitmapData imageData, int width, int height)
{
pixels = pixelsWithoutBlack = 0;
int[] yhisto = new int[256];
int[] cbhisto = new int[256];
int[] crhisto = new int[256];
int[] yhistoWB = new int[256];
int[] cbhistoWB = new int[256];
int[] crhistoWB = new int[256];
RGB rgb = new RGB( );
YCbCr ycbcr = new YCbCr( );
int offset = imageData.Stride - width * 3;
// do the job
unsafe
{
byte *p = (byte *)imageData.Scan0.ToPointer( );
// for each line
for (int y = 0; y < height; y++)
{
// for each pixel
for (int x = 0; x < width; x++, p += 3)
{
rgb.Red = p[RGB.R];
rgb.Green = p[RGB.G];
rgb.Blue = p[RGB.B];
// convert to YCbCr color space
AForge.Imaging.ColorConverter.RGB2YCbCr(rgb, ycbcr);
yhisto [(int)(ycbcr.Y * 255)]++;
cbhisto[(int)((ycbcr.Cb + 0.5) * 255)]++;
crhisto[(int)((ycbcr.Cr + 0.5) * 255)]++;
pixels++;
if ((ycbcr.Y != 0.0) || (ycbcr.Cb != 0.0) || (ycbcr.Cr != 0.0))
{
yhistoWB [(int)(ycbcr.Y * 255)]++;
cbhistoWB[(int)((ycbcr.Cb + 0.5) * 255)]++;
crhistoWB[(int)((ycbcr.Cr + 0.5) * 255)]++;
pixelsWithoutBlack++;
}
}
p += offset;
}
}
// create histograms
yHistogram = new HistogramD(yhisto, new RangeD(0.0, 1.0));
cbHistogram = new HistogramD(cbhisto, new RangeD(-0.5, 0.5));
crHistogram = new HistogramD(crhisto, new RangeD(-0.5, 0.5));
yHistogramWithoutBlack = new HistogramD(yhistoWB, new RangeD(0.0, 1.0));
cbHistogramWithoutBlack = new HistogramD(cbhistoWB, new RangeD(-0.5, 0.5));
crHistogramWithoutBlack = new HistogramD(crhistoWB, new RangeD(-0.5, 0.5));
}
