//convert RGB image to 24bpp BW and save to file
public static void RGBtoBlackWhite24bpp(Bitmap img)
{
string imgExtension = GetImageInfo.Imginfo(Imageinfo.Extension);
string imgName = GetImageInfo.Imginfo(Imageinfo.FileName);
string defPath = GetImageInfo.MyPath("Rand");
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
if (Checks.RGBinput(img))
{
var gray = Helpers.RGBToGrayArray(img);
image = Helpers.SetPixels(image, gray, gray, gray);
string outName = defPath + "_rgbToGray24bpp" + imgExtension;
Helpers.SaveOptions(img, outName, imgExtension);
}
}
private static Bitmap MorphOperationProcess(Bitmap img, MorphOp operation, int[,] structureElement)
{
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
bool type = true;
//array, where store color components result after operations
int[,] resultR = new int[img.Height, img.Width];
int[,] resultG = new int[img.Height, img.Width];
int[,] resultB = new int[img.Height, img.Width];
var ColorList = Helpers.GetPixels(img);
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
if (Depth == 8 || Depth == 1 || Checks.BlackandWhite24bppCheck(ColorList))
{
type = false;
}
if (type)
{
resultR = MorphOperationHelper(ColorList[0].Color, operation, structureElement);
resultG = MorphOperationHelper(ColorList[1].Color, operation, structureElement);
resultB = MorphOperationHelper(ColorList[2].Color, operation, structureElement);
}
else
{
resultR = MorphOperationHelper(ColorList[0].Color, operation, structureElement);
resultG = resultR; resultB = resultR;
}
image = Helpers.SetPixels(image, resultR, resultG, resultB);
if (Depth == 8)
{
image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
}
if (Depth == 1)
{
image = PixelFormatWorks.ImageTo1BppBitmap(image, 0.5);
}
return(image);
}
public static void WriteImageToFile(int[,] r, int[,] g, int[,] b, string fileName, string directoryName)
{
string ImgExtension = Path.GetExtension(fileName).ToLower();
fileName = Path.GetFileNameWithoutExtension(fileName);
Checks.DirectoryExistance(Directory.GetCurrentDirectory() + "\\Rand");
if (r.Length != g.Length || r.Length != b.Length)
{
Console.WriteLine("Image plane arrays size dismatch in hsv2rgb operation -> WriteImageToFile(int[,] R, int[,] G, int[,] B) <-");
}
else
{
Bitmap image = new Bitmap(r.GetLength(1), g.GetLength(0), PixelFormat.Format24bppRgb);
image = Helpers.SetPixels(image, r, g, b);
string outName = Directory.GetCurrentDirectory() + "\\" + directoryName + "\\" + fileName + ImgExtension;
Helpers.SaveOptions(image, outName, ImgExtension);
}
}
//obtain array of BW(gray) data for some functions
public static int[,] BlackandWhiteProcessHelper(Bitmap img)
{
int[,] empty = new int[1, 1];
int[,] im = new int[img.Height, img.Width];
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
if (img.Height < 3 || img.Width < 3)
{
Console.WriteLine("Bad input. Image less then filter 3x3");
return(empty);
}
else if (Depth == 8)
{
im = MoreHelpers.Obtain8bppdata(img);
}
else if (Depth == 24 || Depth == 32)
{
if (Checks.BlackandWhite24bppCheck(img))
{
var ColorList = Helpers.GetPixels(img);
im = ColorList[0].Color;
}
else
{
im = Helpers.RGBToGrayArray(img);
}
}
else if (Depth == 1)
{
var ColorList = Helpers.GetPixels(img);
im = ColorList[0].Color;
}
else
{
Console.WriteLine("Bad input. Image didn`t 8bit BW or 24bit RGB/BW");
return(empty);
}
return(im);
}
//default such as input format
public static void SaveOptions(Bitmap image, string path, string imgExtension)
{
double Depth = System.Drawing.Image.GetPixelFormatSize(image.PixelFormat);
if (Depth == 8 || Depth == 1)
{
imgExtension = ".png";
}
ImageFormat imageFormat;
switch (imgExtension)
{
case ".jpg":
imageFormat = ImageFormat.Jpeg;
break;
case ".jpeg":
imageFormat = ImageFormat.Jpeg;
break;
case ".bmp":
imageFormat = ImageFormat.Bmp;
break;
case ".png":
imageFormat = ImageFormat.Png;
break;
case ".tif":
imageFormat = ImageFormat.Tiff;
break;
default:
imageFormat = ImageFormat.Jpeg;
break;
}
image.Save(Checks.OutputFileNames(path), imageFormat);
}
private static Bitmap InverseBinaryHelper(Bitmap img, OutType type)
{
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
int[,] result = new int[img.Height, img.Width];
if (Checks.BWinput(img))
{
List <ArraysListInt> ColorList = Helpers.GetPixels(img);
result = MoreHelpers.InvertBinaryArray(ColorList[0].Color);
if (result.Cast <int>().Max() == 1)
{
for (int i = 0; i < result.GetLength(0); i++)
{
for (int j = 0; j < result.GetLength(1); j++)
{
if (result[i, j] == 1)
{
result[i, j] = 255;
}
}
}
}
image = Helpers.SetPixels(image, result, result, result);
if (type == OutType.OneBpp)
{
image = PixelFormatWorks.ImageTo1BppBitmap(image, 0.5);
}
else if (type == OutType.EightBpp)
{
image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
}
}
return(image);
}
private static Bitmap ContourHelper(Bitmap img, CountourVariant variant)
{
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
//arrays, where store color components result after operations
int[,] resultR = new int[img.Height, img.Width];
int[,] resultG = new int[img.Height, img.Width];
int[,] resultB = new int[img.Height, img.Width];
bool type = true;
//filtered values storage
List <ArraysListDouble> filt = new List <ArraysListDouble>();
//obtain color components. form 8bpp works too, but not recommended to use 8-bit .jpeg\tif\jpg images
List <ArraysListInt> ColorList = Helpers.GetPixels(img);
var Red = ColorList[0].Color;
var Green = ColorList[1].Color;
var Blue = ColorList[2].Color;
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
if (Depth == 8 || Checks.BlackandWhite24bppCheck(ColorList))
{
type = false;
}
//variants 1-4 black & white. Variants 5, 6 - colored
if (variant == CountourVariant.Variant1_BW || variant == CountourVariant.Variant5_RGB || variant == CountourVariant.Variant2_BW)
{
//using filter and array operations count RGB values in 2d dimentions x and y for variants with double
if (!type)
{
filt.Add(new ArraysListDouble()
{
Color = ImageFilter.Filter_double(Red, "Sobel")
}); //b&w x
filt.Add(new ArraysListDouble()
{
Color = ImageFilter.Filter_double(Red, "SobelT")
}); //b&w y
}
else
{
filt.Add(new ArraysListDouble()
{
Color = ImageFilter.Filter_double(Red, "Sobel")
}); //Rx
filt.Add(new ArraysListDouble()
{
Color = ImageFilter.Filter_double(Red, "SobelT")
}); //Ry
filt.Add(new ArraysListDouble()
{
Color = ImageFilter.Filter_double(Green, "Sobel")
}); //Gx
filt.Add(new ArraysListDouble()
{
Color = ImageFilter.Filter_double(Green, "SobelT")
}); //Gy
filt.Add(new ArraysListDouble()
{
Color = ImageFilter.Filter_double(Blue, "Sobel")
}); //Bx
filt.Add(new ArraysListDouble()
{
Color = ImageFilter.Filter_double(Blue, "SobelT")
}); //By
}
if (variant == CountourVariant.Variant1_BW)
{
//gradient for one color component B&W result
if (!type)
{
resultR = Gradient.Grad(filt[0].Color, filt[1].Color).ImageDoubleToUint8();
}
else
{
resultR = Gradient.Grad(filt[0].Color, filt[1].Color, filt[2].Color,
filt[3].Color, filt[4].Color, filt[5].Color).ImageDoubleToUint8();
}
resultG = resultR; resultB = resultR; //Black & White result
}
else if (variant == CountourVariant.Variant2_BW)
{
//gradient for one color component B&W result
if (!type)
{
resultR = Gradient.Grad(filt[0].Color, filt[1].Color).ArrayMultByConst(2).ImageDoubleToUint8();
}
else
{
resultR = Gradient.Grad(filt[0].Color, filt[1].Color, filt[2].Color,
filt[3].Color, filt[4].Color, filt[5].Color).ArrayMultByConst(2).ImageDoubleToUint8();
}
resultG = resultR; resultB = resultR; //Black & White result
}
else
{
if (type)
{
//RGB gradients
var RG = (filt[0].Color).PowArrayElements(2).SumArrays((filt[1].Color).PowArrayElements(2)).SqrtArrayElements(); //R gradient
var GG = (filt[2].Color).PowArrayElements(2).SumArrays((filt[3].Color).PowArrayElements(2)).SqrtArrayElements(); //G gradient
var BG = (filt[4].Color).PowArrayElements(2).SumArrays((filt[5].Color).PowArrayElements(2)).SqrtArrayElements(); //B gradient
resultR = RG.ArrayToUint8(); resultG = GG.ArrayToUint8(); resultB = BG.ArrayToUint8();
}
else
{
Console.WriteLine("Need RGB image for Variant5_RGB as input. Contour Method.");
return(image);
}
}
}
else if (variant == CountourVariant.Variant3_BW || variant == CountourVariant.Variant4_BW)
{
//convert image into gray scale
var gray = MoreHelpers.BlackandWhiteProcessHelper(img);
double[,] GG = new double[img.Height, img.Height]; //gray gradient
if (variant == CountourVariant.Variant3_BW)
{
var Gx = ImageFilter.Filter_double(gray, "Sobel");
var Gy = ImageFilter.Filter_double(gray, "SobelT");
GG = Gx.PowArrayElements(2).SumArrays(Gy.PowArrayElements(2)).SqrtArrayElements();
}
else
{
var Gx = ImageFilter.Filter_int(gray, "Sobel");
var Gy = ImageFilter.Filter_int(gray, "SobelT");
GG = Gx.ArrayToDouble().PowArrayElements(2).SumArrays(Gy.ArrayToDouble().PowArrayElements(2)).SqrtArrayElements();
}
resultR = GG.ArrayToUint8(); resultG = resultR; resultB = resultR;
}
else if (variant == CountourVariant.Variant6_RGB)
{
//using filter and array operations count RGB values in 2d dimentions x and y for variants with int
if (type)
{
var Rix = ImageFilter.Filter_int(Red, "Sobel");
var Riy = ImageFilter.Filter_int(Red, "SobelT");
var Gix = ImageFilter.Filter_int(Green, "Sobel");
var Giy = ImageFilter.Filter_int(Green, "SobelT");
var Bix = ImageFilter.Filter_int(Blue, "Sobel");
var Biy = ImageFilter.Filter_int(Blue, "SobelT");
var RG = Rix.ArrayToDouble().PowArrayElements(2).SumArrays(Riy.ArrayToDouble().PowArrayElements(2)).SqrtArrayElements(); //R gradient
var GG = Gix.ArrayToDouble().PowArrayElements(2).SumArrays(Giy.ArrayToDouble().PowArrayElements(2)).SqrtArrayElements(); //G gradient
var BG = Bix.ArrayToDouble().PowArrayElements(2).SumArrays(Biy.ArrayToDouble().PowArrayElements(2)).SqrtArrayElements(); //B gradient
resultR = RG.ArrayToUint8(); resultG = GG.ArrayToUint8(); resultB = BG.ArrayToUint8();
}
else
{
Console.WriteLine("Need RGB image for Variant6_RGB as input. Contour Method.");
return(image);
}
}
image = Helpers.SetPixels(image, resultR, resultG, resultB);
if (Depth == 8)
{
image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
}
return(image);
}
//Sharpen process in selected color space
private static Bitmap SharpHelper(Bitmap img, UnSharpInColorSpace cSpace, SharpFilterType filterType)
{
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
List <ArraysListInt> Result = new List <ArraysListInt>();
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
double[,] Resultemp;
if (!Checks.BinaryInput(img))
{
List <ArraysListInt> ColorList = Helpers.GetPixels(img);
//sharp in choosen color space
switch (cSpace)
{
case UnSharpInColorSpace.RGB:
if (Depth == 8)
{
var bw = UnSharpHelperInt(ColorList[0].Color, filterType.ToString());
Result.Add(new ArraysListInt()
{
Color = bw
}); Result.Add(new ArraysListInt()
{
Color = bw
});
Result.Add(new ArraysListInt()
{
Color = bw
});
}
else
{
Result.Add(new ArraysListInt()
{
Color = UnSharpHelperInt(ColorList[0].Color, filterType.ToString())
}); //R
Result.Add(new ArraysListInt()
{
Color = UnSharpHelperInt(ColorList[1].Color, filterType.ToString())
}); //G
Result.Add(new ArraysListInt()
{
Color = UnSharpHelperInt(ColorList[2].Color, filterType.ToString())
}); //B
}
break;
case UnSharpInColorSpace.HSVi:
var hsvi = RGBandHSV.RGB2HSV(img);
var hsvi_temp = UnSharpHelperInt(((hsvi[2].Color).ArrayMultByConst(100).ArrayToUint8()), filterType.ToString());
//Filter by V - Value (Brightness/яркость)
Resultemp = hsvi_temp.ArrayToDouble().ArrayDivByConst(100).ToBorderGreaterZero(1);
Result = RGBandHSV.HSV2RGB(hsvi[0].Color, hsvi[1].Color, Resultemp);
break;
case UnSharpInColorSpace.HSVd:
var hsvd = RGBandHSV.RGB2HSV(img);
var hsvd_temp = UnSharpHelperDouble((hsvd[2].Color).ArrayMultByConst(100), filterType.ToString());
//Filter by V - Value (Brightness/яркость)
//artificially if V > 1, make him 1
Resultemp = hsvd_temp.ArrayDivByConst(100).ToBorderGreaterZero(1);
Result = RGBandHSV.HSV2RGB(hsvd[0].Color, hsvd[1].Color, Resultemp);
break;
case UnSharpInColorSpace.Labi:
var labi = RGBandLab.RGB2Lab(img);
var labi_temp = UnSharpHelperInt((labi[0].Color).ArrayToUint8(), filterType.ToString());
//Filter by L - lightness
Result = RGBandLab.Lab2RGB(labi_temp.ArrayToDouble(), labi[1].Color, labi[2].Color);
break;
case UnSharpInColorSpace.Labd:
var labd = RGBandLab.RGB2Lab(img);
var labd_temp = UnSharpHelperDouble(labd[0].Color, filterType.ToString());
//Filter by L - lightness
Result = RGBandLab.Lab2RGB(labd_temp.ToBorderGreaterZero(255), labd[1].Color, labd[2].Color);
break;
case UnSharpInColorSpace.fakeCIE1976Labi:
var fakeCIE1976abLi = RGBandLab.RGB2Lab1976(img);
var fakeCIE1976Labi_temp = UnSharpHelperInt((fakeCIE1976abLi[0].Color).ArrayToUint8(), filterType.ToString());
//Filter by L - lightness
Result = RGBandLab.Lab1976toRGB(fakeCIE1976Labi_temp.ArrayToDouble(), fakeCIE1976abLi[1].Color, fakeCIE1976abLi[2].Color);
break;
case UnSharpInColorSpace.fakeCIE1976Labd:
var fakeCIE1976Labd = RGBandLab.RGB2Lab1976(img);
var fakeCIE1976Labd_temp = UnSharpHelperDouble((fakeCIE1976Labd[0].Color), filterType.ToString());
//Filter by L - lightness
Result = RGBandLab.Lab1976toRGB(fakeCIE1976Labd_temp.ToBorderGreaterZero(255), fakeCIE1976Labd[1].Color, fakeCIE1976Labd[2].Color);
break;
}
image = Helpers.SetPixels(image, Result[0].Color, Result[1].Color, Result[2].Color);
if (Depth == 8)
{
image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
}
}
else
{
Console.WriteLine("What did you expected to sharp binary image? Return black rectangle.");
}
return(image);
}
private static Bitmap BrightTransformationHelper(Bitmap img, string operation, BrightConvPlane plane, double constOne, double constTwo)
{
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
int[,] resultR = new int[img.Height, img.Width];
int[,] resultG = new int[img.Height, img.Width];
int[,] resultB = new int[img.Height, img.Width];
List <ArraysListInt> ColorList = Helpers.GetPixels(img);
if (constOne > 0 && constTwo > 0)
{
if (!Checks.BinaryInput(img))
{
if (Depth == 8)
{
if (operation == "stretch")
{
resultR = ColorList[0].Color.StretchContrastFunc(constOne, constTwo);
}
else if (operation == "log")
{
resultR = ColorList[0].Color.LogTransformationFunc(constOne);
}
else if (operation == "gamma")
{
resultR = ColorList[0].Color.GammaCorrectionFunc(constOne, constTwo);
}
resultG = resultR; resultB = resultR;
}
else
{
switch (plane)
{
case BrightConvPlane.Rplane: //R plane
if (operation == "stretch")
{
resultR = ColorList[0].Color.StretchContrastFunc(constOne, constTwo);
}
else if (operation == "log")
{
resultR = ColorList[0].Color.LogTransformationFunc(constOne);
}
else if (operation == "gamma")
{
resultR = ColorList[0].Color.GammaCorrectionFunc(constOne, constTwo);
}
resultG = ColorList[1].Color; resultB = ColorList[2].Color;
break;
case BrightConvPlane.Gplane: //G plane
if (operation == "stretch")
{
resultG = ColorList[1].Color.StretchContrastFunc(constOne, constTwo);
}
else if (operation == "log")
{
resultG = ColorList[1].Color.LogTransformationFunc(constOne);
}
else if (operation == "gamma")
{
resultG = ColorList[1].Color.GammaCorrectionFunc(constOne, constTwo);
}
resultR = ColorList[0].Color; resultB = ColorList[2].Color;
break;
case BrightConvPlane.Bplane: //B plane
if (operation == "stretch")
{
resultB = ColorList[2].Color.StretchContrastFunc(constOne, constTwo);
}
else if (operation == "log")
{
resultB = ColorList[2].Color.LogTransformationFunc(constOne);
}
else if (operation == "gamma")
{
resultB = ColorList[2].Color.GammaCorrectionFunc(constOne, constTwo);
}
resultR = ColorList[0].Color; resultG = ColorList[1].Color;
break;
case BrightConvPlane.RGB:
if (operation == "stretch")
{
resultR = ColorList[0].Color.StretchContrastFunc(constOne, constTwo);
resultG = ColorList[1].Color.StretchContrastFunc(constOne, constTwo);
resultB = ColorList[2].Color.StretchContrastFunc(constOne, constTwo);
}
else if (operation == "log")
{
resultR = ColorList[0].Color.LogTransformationFunc(constOne);
resultG = ColorList[1].Color.LogTransformationFunc(constOne);
resultB = ColorList[2].Color.LogTransformationFunc(constOne);
}
else if (operation == "gamma")
{
resultR = ColorList[0].Color.GammaCorrectionFunc(constOne, constTwo);
resultG = ColorList[1].Color.GammaCorrectionFunc(constOne, constTwo);
resultB = ColorList[2].Color.GammaCorrectionFunc(constOne, constTwo);
}
break;
}
}
image = Helpers.SetPixels(image, resultR, resultG, resultB);
if (Depth == 8)
{
image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
}
}
else
{
Console.WriteLine("What did you expected to make log transformation with binary image? Return black square.");
}
}
else
{
Console.WriteLine("Input constants must be positive value. Return black square.");
}
return(image);
}
//image smoothing by entered size for average filter process
private static Bitmap SmoothHelper(Bitmap img, int m, int n, SmoothInColorSpace cSpace)
{
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
List <ArraysListInt> Result = new List <ArraysListInt>();
double[,] filter;
if (!Checks.BinaryInput(img))
{
List <ArraysListInt> ColorList = Helpers.GetPixels(img);
if (m >= 1 && n >= 1)
{
//create average filter by entered size
filter = ImageFilter.FspecialSize(m, n, "average");
//smooth in choosen color space
switch (cSpace)
{
case SmoothInColorSpace.RGB:
if (Depth == 8)
{
var bw = ImageFilter.Filter_double(ColorList[0].Color, filter).ArrayToUint8();
Result.Add(new ArraysListInt()
{
Color = bw
}); Result.Add(new ArraysListInt()
{
Color = bw
});
Result.Add(new ArraysListInt()
{
Color = bw
});
}
else
{
Result.Add(new ArraysListInt()
{
Color = ImageFilter.Filter_double(ColorList[0].Color, filter).ArrayToUint8()
});
Result.Add(new ArraysListInt()
{
Color = ImageFilter.Filter_double(ColorList[1].Color, filter).ArrayToUint8()
});
Result.Add(new ArraysListInt()
{
Color = ImageFilter.Filter_double(ColorList[2].Color, filter).ArrayToUint8()
});
}
break;
case SmoothInColorSpace.HSV:
var hsv = RGBandHSV.RGB2HSV(img);
var hsv_temp = ImageFilter.Filter_double(hsv[2].Color, filter, PadType.replicate);
//Filter by V - Value (Brightness/яркость)
//artificially if V > 1; make him 1
Result = RGBandHSV.HSV2RGB(hsv[0].Color, hsv[1].Color, hsv_temp.ToBorderGreaterZero(1));
break;
case SmoothInColorSpace.Lab:
var lab = RGBandLab.RGB2Lab(img);
var lab_temp = ImageFilter.Filter_double(lab[0].Color, filter, PadType.replicate);
//Filter by L - lightness
Result = RGBandLab.Lab2RGB(lab_temp.ToBorderGreaterZero(255), lab[1].Color, lab[2].Color);
break;
case SmoothInColorSpace.fakeCIE1976L:
var fakeCIE1976L = RGBandLab.RGB2Lab1976(img);
var fakeCIE1976L_temp = ImageFilter.Filter_double(fakeCIE1976L[0].Color, filter, PadType.replicate);
//Filter by L - lightness
Result = RGBandLab.Lab1976toRGB(fakeCIE1976L_temp, fakeCIE1976L[1].Color, fakeCIE1976L[2].Color);
break;
}
image = Helpers.SetPixels(image, Result[0].Color, Result[1].Color, Result[2].Color);
if (Depth == 8)
{
image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
}
}
else
{
Console.WriteLine("m and n parameters must be positive and greater or equal 1. Recommended 2 & 2 and higher. Method >Smooth<. Return black square.");
}
}
else
{
Console.WriteLine("What did you expected to smooth binaty image? Return black square.");
}
return(image);
}
private static Bitmap ContrastRGBProcess(Bitmap img, double Rc_low_in, double Rc_high_in, double Gc_low_in, double Gc_high_in, double Bc_low_in, double Bc_high_in,
double Rc_low_out, double Rc_high_out, double Gc_low_out, double Gc_high_out, double Bc_low_out, double Bc_high_out, double gamma)
{
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
if (Checks.RGBinput(img))
{
List <ArraysListInt> ColorList = Helpers.GetPixels(img);
string outName = String.Empty;
//default
//gamma - linear mapping gamma = 1
//In values between low_in and high_in
//Only positive values in range [0:1]
//low and high specifying the In contrast limits
double[] RcIn = new double[2] {
0, 1
};
double[] GcIn = new double[2] {
0, 1
};
double[] BcIn = new double[2] {
0, 1
};
//make Out intensity to values between low_out and high_out
//Only positive values in range [0:1; 0:1]
// If high_out < low_out, the output image is reversed, as in a photographic negative.
double[] RcOut = new double[2] {
0, 1
};
double[] GcOut = new double[2] {
0, 1
};
double[] BcOut = new double[2] {
0, 1
};
if (Rc_low_in > 1 || Rc_high_in > 1 || Gc_low_in > 1 || Gc_high_in > 1 || Bc_low_in > 1 || Bc_high_in > 1 ||
Rc_low_in < 0 || Rc_high_in < 0 || Gc_low_in < 0 || Gc_high_in < 0 || Bc_low_in < 0 || Bc_high_in < 0 ||
Rc_low_out > 1 || Rc_high_out > 1 || Gc_low_out > 1 || Gc_high_out > 1 || Bc_low_out > 1 || Bc_high_out > 1 ||
Rc_low_out < 0 || Rc_high_out < 0 || Gc_low_out < 0 || Gc_high_out < 0 || Bc_low_out < 0 || Bc_high_out < 0)
{
Console.WriteLine("low_in limit and high_in limits must be in range [0:1]\n" +
"low_out and high_out limits must be in range [0:1] or [1 0]");
}
else if (Rc_low_in >= Rc_high_in || Gc_low_in >= Gc_high_in || Bc_low_in >= Bc_high_in)
{
Console.WriteLine("low_in limit must be less then high_in limit for each color plane");
}
else
{
RcIn = new double[2] {
Rc_low_in, Rc_high_in
};
GcIn = new double[2] {
Gc_low_in, Gc_high_in
};
BcIn = new double[2] {
Bc_low_in, Bc_high_in
};
if (Rc_low_out != 0 || Rc_high_out != 0 || Gc_low_out != 0 || Gc_high_out != 0 ||
Bc_low_out != 0 || Bc_high_out != 0)
{
RcOut = new double[2] {
Rc_low_out, Rc_high_out
};
GcOut = new double[2] {
Gc_low_out, Gc_high_out
};
BcOut = new double[2] {
Bc_low_out, Bc_high_out
};
}
//prevent obtain black square if all low_out = high_out = 0 in this case used default Out { 0, 1 };
//Convert integer values using lookup table
var ContRc = ContrastProcess.InlutContrast(ColorList[0].Color, ContrastProcess.CountLut(RcIn, RcOut, gamma));
var ContGc = ContrastProcess.InlutContrast(ColorList[1].Color, ContrastProcess.CountLut(GcIn, GcOut, gamma));
var ContBc = ContrastProcess.InlutContrast(ColorList[2].Color, ContrastProcess.CountLut(BcIn, BcOut, gamma));
image = Helpers.SetPixels(image, ContRc, ContGc, ContBc);
}
}
return(image);
}
//obtain selected Color plane in file or their combo.
public static void RGBcomponents(Bitmap img, ColorPlaneRGB colorPlane)
{
string imgExtension = GetImageInfo.Imginfo(Imageinfo.Extension);
string imgName = GetImageInfo.Imginfo(Imageinfo.FileName);
string defPath = GetImageInfo.MyPath("ColorSpace\\ColorSpacePlane");
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
Bitmap outRes = new Bitmap(img.Width, img.Height, PixelFormat.Format8bppIndexed);
string outName = String.Empty;
if (Checks.RGBinput(img))
{
//obtain color components
var ColorList = Helpers.GetPixels(img);
var Red = ColorList[0].Color;
var Green = ColorList[1].Color;
var Blue = ColorList[2].Color;
switch (colorPlane)
{
case ColorPlaneRGB.R:
image = MoreHelpers.SetColorPlanePixels(image, Red, ColorPlaneRGB.R);
outName = defPath + imgName + "_Rcplane" + imgExtension;
break;
case ColorPlaneRGB.G:
image = MoreHelpers.SetColorPlanePixels(image, Green, ColorPlaneRGB.G);
outName = defPath + imgName + "_Gcplane" + imgExtension;
break;
case ColorPlaneRGB.B:
image = MoreHelpers.SetColorPlanePixels(image, Blue, ColorPlaneRGB.B);
outName = defPath + imgName + "_Bcplane" + imgExtension;
break;
case ColorPlaneRGB.RGB:
image = MoreHelpers.SetColorPlanePixels(image, Red, ColorPlaneRGB.R);
outName = defPath + imgName + "_Rcplane" + imgExtension;
Helpers.SaveOptions(image, outName, imgExtension);
image = MoreHelpers.SetColorPlanePixels(image, Green, ColorPlaneRGB.G);
outName = defPath + imgName + "_Gcplane" + imgExtension;
Helpers.SaveOptions(image, outName, imgExtension);
image = MoreHelpers.SetColorPlanePixels(image, Blue, ColorPlaneRGB.B);
outName = defPath + imgName + "_Bcplane" + imgExtension;
Helpers.SaveOptions(image, outName, imgExtension);
break;
case ColorPlaneRGB.RGcombo:
image = Helpers.SetPixels(image, Red, Green, new int[Blue.GetLength(0), Blue.GetLength(1)]);
outName = defPath + imgName + "_RGplanes" + imgExtension;
break;
case ColorPlaneRGB.RBcombo:
image = Helpers.SetPixels(image, Red, new int[Blue.GetLength(0), Blue.GetLength(1)], Blue);
outName = defPath + imgName + "_RBplanes" + imgExtension;
break;
case ColorPlaneRGB.GBcombo:
image = Helpers.SetPixels(image, new int[Blue.GetLength(0), Blue.GetLength(1)], Green, Blue);
outName = defPath + imgName + "_GBplanes" + imgExtension;
break;
case ColorPlaneRGB.Rnarkoman:
image = MoreHelpers.SetColorPlanePixels(image, Red, ColorPlaneRGB.R);
outRes = MoreHelpers.Narko8bppPalette(image);
outName = defPath + imgName + "_RcplaneNarkoman" + imgExtension;
Helpers.SaveOptions(image, outName, imgExtension);
break;
case ColorPlaneRGB.Gnarkoman:
image = MoreHelpers.SetColorPlanePixels(image, Green, ColorPlaneRGB.G);
outRes = MoreHelpers.Narko8bppPalette(image);
outName = defPath + imgName + "_GcplaneNarkoman" + imgExtension;
Helpers.SaveOptions(image, outName, imgExtension);
break;
case ColorPlaneRGB.Bnarkoman:
image = MoreHelpers.SetColorPlanePixels(image, Blue, ColorPlaneRGB.B);
outRes = MoreHelpers.Narko8bppPalette(image);
outName = defPath + imgName + "_BcplaneNarkoman" + imgExtension;
Helpers.SaveOptions(image, outName, imgExtension);
break;
default:
break;
}
if (colorPlane != ColorPlaneRGB.RGB && colorPlane != ColorPlaneRGB.Rnarkoman &&
colorPlane != ColorPlaneRGB.Gnarkoman && colorPlane != ColorPlaneRGB.Bnarkoman)
{
Helpers.SaveOptions(image, outName, imgExtension);
}
}
}
private static Bitmap HighContrastProcess(Bitmap img, ContrastFilter filter, HighContastRGB cPlane, [CallerMemberName] string callName = "")
{
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
int[,] resultR = new int[img.Height, img.Width];
int[,] resultG = new int[img.Height, img.Width];
int[,] resultB = new int[img.Height, img.Width];
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
int[,] filterWindow = new int[3, 3];
if (filter == ContrastFilter.filterOne)
{
filterWindow = ImageFilter.Ix3FWindow("HighContrast1");
}
else
{
filterWindow = ImageFilter.Ix3FWindow("HighContrast2");
}
if (callName == "HighContrastBlackWhite")
{
if (Depth == 8 || Checks.BlackandWhite24bppCheck(img))
{
var GrayC = MoreHelpers.BlackandWhiteProcessHelper(img);
resultR = ImageFilter.Filter_int(GrayC, filterWindow, PadType.replicate);
resultG = resultR; resultB = resultR;
}
else
{
Console.WriteLine("There non 8bit or 24bit black and white image at input. Method:" + callName);
}
}
else
{
if (Checks.RGBinput(img))
{
List <ArraysListInt> ColorList = Helpers.GetPixels(img);
switch (cPlane)
{
case HighContastRGB.R:
resultR = ImageFilter.Filter_int(ColorList[0].Color, filterWindow, PadType.replicate);
resultG = ColorList[1].Color; resultB = ColorList[2].Color;
break;
case HighContastRGB.G:
resultG = ImageFilter.Filter_int(ColorList[1].Color, filterWindow, PadType.replicate);
resultR = ColorList[0].Color; resultB = ColorList[2].Color;
break;
case HighContastRGB.B:
resultB = ImageFilter.Filter_int(ColorList[2].Color, filterWindow, PadType.replicate);
resultR = ColorList[0].Color; resultG = ColorList[1].Color;
break;
case HighContastRGB.RGB:
resultR = ImageFilter.Filter_int(ColorList[0].Color, filterWindow, PadType.replicate);
resultG = ImageFilter.Filter_int(ColorList[1].Color, filterWindow, PadType.replicate);
resultB = ImageFilter.Filter_int(ColorList[2].Color, filterWindow, PadType.replicate);
break;
}
}
}
image = Helpers.SetPixels(image, resultR, resultG, resultB);
if (Depth == 8)
{
image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
}
return(image);
}
private static Bitmap ContrastBlackWhiteProcess(Bitmap img, double low_in, double high_in, double low_out, double high_out, double gamma)
{
int[,] GrayC = new int[img.Height, img.Width];
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
if (Depth == 8 || Checks.BlackandWhite24bppCheck(img))
{
GrayC = MoreHelpers.BlackandWhiteProcessHelper(img);
//default
//gamma - linear mapping gamma = 1
//Make In intensity to values between low_in and high_in
//Only positive values in range [0:1]
double[] In = new double[2] {
0, 1
};
//make Out intensity to values between low_out and high_out
//Only positive values in range [0:1; 0:1]
//If high_out < low_out, the output image is reversed, as in a photographic negative.
double[] Out = new double[2] {
0, 1
};
int[,] Cont = new int[img.Height, img.Width];
if (low_in > 1 || high_in > 1 || low_in < 0 || high_in < 0 ||
low_out > 1 || high_out > 1 || low_out < 0 || high_out < 0)
{
Console.WriteLine("low_in and high_in limits must be in range [0:1] \n" +
"low_out and high_out limits must be in range [1:0] or [0 1]");
}
else if (low_in >= high_in)
{
Console.WriteLine("low_in must be less then high_in");
}
else
{
In = new double[2] {
low_in, high_in
}; //low and high specifying the contrast limits
//Find In limits to contrast image Based on it`s intensity
//No sence for values 0.5 and more. 0.01 - here use only default value
if (low_in == 0.98 && high_in == 0.99 && low_out == 0.99 && high_out == 0.99) //so bad
{
In = ContrastProcess.Stretchlims(GrayC, 0.01); //number - intensity in % pixels saturated at low and high intensities of image
}
else if (low_out != 0 || high_out != 0)
{
Out = new double[2] {
low_out, high_out
}
}
;
//prevent obtain black square if low_out = high_out = 0 in this case used default Out { 0, 1 };
Cont = ContrastProcess.InlutContrast(GrayC, ContrastProcess.CountLut(In, Out, gamma)); //Convert integer values using lookup table
image = Helpers.SetPixels(image, Cont, Cont, Cont);
if (Depth != 8)
{
image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
}
}
}
else
{
Console.WriteLine("There non 8bit or 24bit black and white image at input. Method: ContrastBlackandWhite()");
}
return(image);
}
private static Bitmap GraythreshProcess(Bitmap img, Bitmap adaptOrig, bool adaptive)
{
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
int[,] result = new int[img.Height, img.Width];
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
if (!Checks.BinaryInput(img))
{
var im = MoreHelpers.BlackandWhiteProcessHelper(img);
if (im.GetLength(0) > 1 && im.GetLength(1) > 1)
{
double T = 0.5 * (im.Cast <int>().ToArray().Min() + im.Cast <int>().ToArray().Max());
bool done = false;
double Tnext = 0;
List <double> tempTrue = new List <double>();
List <double> tempFalse = new List <double>();
while (!done)
{
for (int i = 0; i < im.GetLength(0); i++)
{
for (int j = 0; j < im.GetLength(1); j++)
{
if (im[i, j] >= T)
{
tempTrue.Add(im[i, j]);
}
else
{
tempFalse.Add(im[i, j]);
}
}
}
Tnext = 0.5 * (tempTrue.Average() + tempFalse.Average());
if (Math.Abs(T - Tnext) < 0.5)
{
done = true;
}
T = Tnext;
tempTrue = new List <double>();
tempFalse = new List <double>();
}
if (adaptive)
{
im = im.ArraySumWithConst(T);
var origCheck = MoreHelpers.BlackandWhiteProcessHelper(adaptOrig);
for (int i = 0; i < im.GetLength(0); i++)
{
for (int j = 0; j < im.GetLength(1); j++)
{
if (origCheck[i, j] > im[i, j])
{
result[i, j] = 255;
}
else
{
result[i, j] = 0;
}
}
}
}
else
{
for (int i = 0; i < im.GetLength(0); i++)
{
for (int j = 0; j < im.GetLength(1); j++)
{
if (im[i, j] > T)
{
result[i, j] = 255;
}
else
{
result[i, j] = 0;
}
}
}
}
image = Helpers.SetPixels(image, result, result, result);
if (Depth == 8)
{
image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
}
}
}
else
{
Console.WriteLine("What did you expected to make Graythresh with binary image? Return black square.");
}
return(image);
}
//
private static Bitmap FSpecialHelper(Bitmap img, double[,] filter, FSpecialColorSpace cSpace, FSpecialFilterType filterType)
{
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
List <ArraysListInt> Result = new List <ArraysListInt>();
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
double[,] Resultemp;
if (!Checks.BinaryInput(img))
{
List <ArraysListInt> ColorList = Helpers.GetPixels(img);
//sharp in choosen color space
switch (cSpace)
{
case FSpecialColorSpace.RGB:
if (Depth == 8)
{
var bw = FSpecialFilterHelper(ColorList[0].Color.ArrayToDouble(), filter, filterType).ArrayToUint8();
Result.Add(new ArraysListInt()
{
Color = bw
}); Result.Add(new ArraysListInt()
{
Color = bw
});
Result.Add(new ArraysListInt()
{
Color = bw
});
}
else
{
Result.Add(new ArraysListInt()
{
Color = FSpecialFilterHelper(ColorList[0].Color.ArrayToDouble(), filter, filterType).ArrayToUint8()
}); //R
Result.Add(new ArraysListInt()
{
Color = FSpecialFilterHelper(ColorList[1].Color.ArrayToDouble(), filter, filterType).ArrayToUint8()
}); //G
Result.Add(new ArraysListInt()
{
Color = FSpecialFilterHelper(ColorList[2].Color.ArrayToDouble(), filter, filterType).ArrayToUint8()
}); //B
}
break;
case FSpecialColorSpace.HSV:
var hsvd = RGBandHSV.RGB2HSV(img);
var hsvd_temp = FSpecialFilterHelper((hsvd[2].Color).ArrayMultByConst(100), filter, filterType);
//Filter by V - Value (Brightness/яркость)
//artificially if V > 1, make him 1
Resultemp = hsvd_temp.ArrayDivByConst(100).ToBorderGreaterZero(1);
Result = RGBandHSV.HSV2RGB(hsvd[0].Color, hsvd[1].Color, Resultemp);
break;
case FSpecialColorSpace.Lab:
var labd = RGBandLab.RGB2Lab(img);
var labd_temp = FSpecialFilterHelper(labd[0].Color, filter, filterType);
//Filter by L - lightness
Result = RGBandLab.Lab2RGB(labd_temp.ToBorderGreaterZero(255), labd[1].Color, labd[2].Color);
break;
}
image = Helpers.SetPixels(image, Result[0].Color, Result[1].Color, Result[2].Color);
if (Depth == 8)
{
image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
}
}
else
{
Console.WriteLine("I don`t wont process binary image. Return black rectangle.");
}
return(image);
}
//
private static void LittleEdgeMethodVariant(Bitmap img, Edgevariant variant, double threshold)
{
string imgExtension = GetImageInfo.Imginfo(Imageinfo.Extension);
string imgName = GetImageInfo.Imginfo(Imageinfo.FileName);
string defPath = GetImageInfo.MyPath("Segmentation\\Edge");
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
int[,] result = new int[img.Height, img.Width];
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
string outName = String.Empty;
double scale = 4; // for calculating the automatic threshold
var imArray = MoreHelpers.BlackandWhiteProcessHelper(img);
if ((imArray.GetLength(0) > 1 && imArray.GetLength(1) > 1) && (threshold >= 0 && threshold <= 1) && !(Checks.BinaryInput(img) && threshold == 0))
{
if (variant == Edgevariant.var1)
{
result = EdgeHelperv1(scale, imArray, threshold, ImageFilter.Dx3FWindow("Sobel"), ImageFilter.Dx3FWindow("SobelT"), 8,
EdgeDirection.both, imgName, imgExtension, EdgeTempName._EdgeDefaultVar1_temp);
if (threshold == 0)
{
outName = defPath + imgName + "_EdgeDefV1" + imgExtension;
}
else
{
outName = defPath + imgName + "_EdgeDefV1" + "Th_" + threshold.ToString() + imgExtension;
}
}
else
{
result = EdgeHelperv2(scale, imArray, threshold, ImageFilter.Dx3FWindow("Sobel"), ImageFilter.Dx3FWindow("SobelT"), 8, EdgeDirection.both);
if (threshold == 0)
{
outName = defPath + imgName + "_EdgeDefV2" + imgExtension;
}
else
{
outName = defPath + imgName + "_EdgeDefV2" + "Th_" + threshold.ToString() + imgExtension;
}
}
image = Helpers.SetPixels(image, result, result, result);
if (Depth == 8)
{
PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
}
Helpers.SaveOptions(image, outName, imgExtension);
}
else
{
Console.WriteLine("Threshold must be in range [0..1]." +
"\nOr may be Binary image at input and threshold = 0 - can`t process with such condition.");
}
}
private static Bitmap RGB2Gray8bppConveter(Bitmap img)
{
int r, ic, oc, bmpStride, outputStride;
ColorPalette palette;
BitmapData inputData, outputData;
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format8bppIndexed);
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
if (Depth == 8)
{
Console.WriteLine("Image already 8bit. Method RGB2Gray8bpp. Return themself");
return(img);
}
if (Checks.RGBinput(img))
{
//Build a grayscale color Palette
palette = image.Palette;
for (int i = 0; i < 256; i++)
{
Color tmp = Color.FromArgb(255, i, i, i);
palette.Entries[i] = Color.FromArgb(255, i, i, i);
}
image.Palette = palette;
//Lock the images
inputData = img.LockBits(new Rectangle(0, 0, img.Width, img.Height), ImageLockMode.ReadOnly, img.PixelFormat);
outputData = image.LockBits(new Rectangle(0, 0, img.Width, img.Height), ImageLockMode.WriteOnly, PixelFormat.Format8bppIndexed);
bmpStride = inputData.Stride;
outputStride = outputData.Stride;
try
{
//Traverse each pixel of the image
unsafe
{
byte *bmpPtr = (byte *)inputData.Scan0.ToPointer();
var outputPtr = (byte *)outputData.Scan0.ToPointer();
//Convert the pixel to it's luminance using the formula:
// L = .299*R + .587*G + .114*B
//Note that ic is the input column and oc is the output column
for (r = 0; r < img.Height; r++)
{
for (ic = oc = 0; oc < img.Width; ic += 3, ++oc)
{
outputPtr[r * outputStride + oc] = (byte)(int)
(0.299f * bmpPtr[r * bmpStride + ic] +
0.587f * bmpPtr[r * bmpStride + ic + 1] +
0.114f * bmpPtr[r * bmpStride + ic + 2]);
}
}
}
}
catch (Exception e)
{
Console.WriteLine("Some problems while using unsafe code. Method: RGB2Gray8bpp. \nMessage: " + e.Message);
}
finally
{
//Unlock the images
img.UnlockBits(inputData);
image.UnlockBits(outputData);
}
}
return(image);
}
////Equalize histogram for image brocess
private static Bitmap EqualizeHelper(Bitmap img, HisteqColorSpace cSpace)
{
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
List <ArraysListInt> Result = new List <ArraysListInt>();
double Depth = System.Drawing.Image.GetPixelFormatSize(img.PixelFormat);
if (!Checks.BinaryInput(img))
{
List <ArraysListInt> ColorList = Helpers.GetPixels(img);
//obtain histogram in choosen color space
switch (cSpace)
{
case HisteqColorSpace.RGB:
if (Depth == 8)
{
var bw = HisteqHelper(ColorList[0].Color);
Result.Add(new ArraysListInt()
{
Color = bw
}); Result.Add(new ArraysListInt()
{
Color = bw
});
Result.Add(new ArraysListInt()
{
Color = bw
});
}
else
{
Result.Add(new ArraysListInt()
{
Color = HisteqHelper(ColorList[0].Color)
});
Result.Add(new ArraysListInt()
{
Color = HisteqHelper(ColorList[1].Color)
});
Result.Add(new ArraysListInt()
{
Color = HisteqHelper(ColorList[2].Color)
});
}
break;
case HisteqColorSpace.HSV:
var hsv = RGBandHSV.RGB2HSV(img);
var hsv_temp = HisteqHelper((hsv[2].Color).ImageDoubleToUint8());
//Filter by V - Value (Brightness/яркость)
//artificially if V > 1; make him 1
Result = RGBandHSV.HSV2RGB(hsv[0].Color, hsv[1].Color, hsv_temp.ImageUint8ToDouble().ToBorderGreaterZero(1));
break;
case HisteqColorSpace.Lab:
var lab = RGBandLab.RGB2Lab(img);
var lab_temp = HisteqHelper((lab[0].Color).ArrayToUint8());
//Filter by L - lightness
Result = RGBandLab.Lab2RGB(lab_temp.ArrayToDouble().ToBorderGreaterZero(255), lab[1].Color, lab[2].Color);
break;
case HisteqColorSpace.fakeCIE1976L:
var fakeCIE1976L = RGBandLab.RGB2Lab1976(img);
var fakeCIE1976L_temp = HisteqHelper(fakeCIE1976L[0].Color.ArrayToUint8());
//Filter by L - lightness
Result = RGBandLab.Lab1976toRGB(fakeCIE1976L_temp.ArrayToDouble(), fakeCIE1976L[1].Color, fakeCIE1976L[2].Color);
break;
}
image = Helpers.SetPixels(image, Result[0].Color, Result[1].Color, Result[2].Color);
if (Depth == 8)
{
image = PixelFormatWorks.Bpp24Gray2Gray8bppBitMap(image);
}
}
else
{
Console.WriteLine("What did you expected to HistogramEqualization binaty image? Return black square.");
}
return(image);
}
//if direct from file. Alert: don`t recommended to use
public static void ColorSpaceToFileDirectFromImage(Bitmap img, ColorSpaceType colorSpace)
{
string imgExtension = GetImageInfo.Imginfo(Imageinfo.Extension);
string imgName = GetImageInfo.Imginfo(Imageinfo.FileName);
string defPath = GetImageInfo.MyPath("ColorSpace");
Bitmap image = new Bitmap(img.Width, img.Height, PixelFormat.Format24bppRgb);
//back result [0 .. 255]
int[,] colorPlaneOne = new int[img.Height, img.Width];
int[,] colorPlaneTwo = new int[img.Height, img.Width];
int[,] colorPlaneThree = new int[img.Height, img.Width];
List <ArraysListInt> rgbResult = new List <ArraysListInt>();
string outName = String.Empty;
if (Checks.RGBinput(img))
{
switch (colorSpace.ToString())
{
case "rgb2hsv":
var hsvResult = RGBandHSV.RGB2HSV(img);
colorPlaneOne = (hsvResult[0].Color).ArrayDivByConst(360).ImageDoubleToUint8();
colorPlaneTwo = (hsvResult[1].Color).ImageDoubleToUint8();
colorPlaneThree = (hsvResult[2].Color).ImageDoubleToUint8();
outName = defPath + imgName + "_rgb2hsv" + imgExtension;
break;
case "hsv2rgb":
rgbResult = RGBandHSV.HSV2RGB(img);
colorPlaneOne = rgbResult[0].Color;
colorPlaneTwo = rgbResult[1].Color;
colorPlaneThree = rgbResult[2].Color;
outName = defPath + imgName + "_hsv2rgb" + imgExtension;
break;
case "rgb2ntsc":
var ntscResult = RGBandNTSC.RGB2NTSC(img);
colorPlaneOne = (ntscResult[0].Color).ArrayToUint8();
colorPlaneTwo = (ntscResult[1].Color).ArrayToUint8();
colorPlaneThree = (ntscResult[2].Color).ArrayToUint8();
//if we want to save rgb2ntsc result in file
//approximate result in file, coz we lost negative values in I and Q
outName = defPath + imgName + "_rgb2ntsc" + imgExtension;
break;
case "ntsc2rgb":
rgbResult = RGBandNTSC.NTSC2RGB(img);
colorPlaneOne = rgbResult[0].Color;
colorPlaneTwo = rgbResult[1].Color;
colorPlaneThree = rgbResult[2].Color;
//when ntsc2rgb from file
//approximate result in file, coz we lost negative values in I and Q when saving ntsc result in file [0..255]
outName = defPath + imgName + "_ntsc2rgb" + imgExtension;
break;
case "rgb2cmy":
var cmyResult = RGBandCMY.RGB2CMY(img);
colorPlaneOne = (cmyResult[0].Color).ImageDoubleToUint8();
colorPlaneTwo = (cmyResult[1].Color).ImageDoubleToUint8();
colorPlaneThree = (cmyResult[2].Color).ImageDoubleToUint8();
outName = defPath + imgName + "_rgb2cmy" + imgExtension;
break;
case "cmy2rgb":
rgbResult = RGBandCMY.CMY2RGB(img);
colorPlaneOne = rgbResult[0].Color;
colorPlaneTwo = rgbResult[1].Color;
colorPlaneThree = rgbResult[2].Color;
outName = defPath + imgName + "_cmy2rgb" + imgExtension;
break;
case "rgb2YCbCr":
var YCbCrResult = RGBandYCbCr.RGB2YCbCr(img);
colorPlaneOne = (YCbCrResult[0].Color).ArrayToUint8();
colorPlaneTwo = (YCbCrResult[1].Color).ArrayToUint8();
colorPlaneThree = (YCbCrResult[2].Color).ArrayToUint8();
outName = defPath + imgName + "_rgb2YCbCr" + imgExtension;
break;
case "YCbCr2rgb":
rgbResult = RGBandYCbCr.YCbCr2RGB(img);
colorPlaneOne = rgbResult[0].Color;
colorPlaneTwo = rgbResult[1].Color;
colorPlaneThree = rgbResult[2].Color;
outName = defPath + imgName + "_YCbCr2rgb" + imgExtension;
break;
case "rgb2xyz":
var xyzrgbResult = RGBandXYZ.RGB2XYZ(img);
colorPlaneOne = (xyzrgbResult[0].Color).ArrayToUint8();
colorPlaneTwo = (xyzrgbResult[1].Color).ArrayToUint8();
colorPlaneThree = (xyzrgbResult[2].Color).ArrayToUint8();
//approximate result in file, coz we lost values after comma in saving ntsc result in file [0..255] and heavy round them
outName = defPath + imgName + "_rgb2xyz" + imgExtension;
break;
case "xyz2rgb":
rgbResult = RGBandXYZ.XYZ2RGB(img);
colorPlaneOne = rgbResult[0].Color;
colorPlaneTwo = rgbResult[1].Color;
colorPlaneThree = rgbResult[2].Color;
//bad when from file, coz using heavy rounded X Y Z values; when writing them to file
outName = defPath + imgName + "_xyz2rgb" + imgExtension;
break;
case "xyz2lab":
var xyzlabResult = XYZandLab.XYZ2Lab(img);
colorPlaneOne = (xyzlabResult[0].Color).ArrayToUint8();
colorPlaneTwo = (xyzlabResult[1].Color).ArrayToUint8();
colorPlaneThree = (xyzlabResult[2].Color).ArrayToUint8();
//bad when from file, coz xyz values rounded; and lost negative value in a & b when saving in [0..255] range into file
outName = defPath + imgName + "_xyz2lab" + imgExtension;
break;
case "lab2xyz":
var labxyzResult = XYZandLab.Lab2XYZ(img);
colorPlaneOne = (labxyzResult[0].Color).ArrayToUint8();
colorPlaneTwo = (labxyzResult[1].Color).ArrayToUint8();
colorPlaneThree = (labxyzResult[2].Color).ArrayToUint8();
//bad when from file, coz lost a and b negative value when save to file. And lost X Y Z values when round before save in [0..255] range into file
outName = defPath + imgName + "_lab2xyz" + imgExtension;
break;
case "rgb2lab":
var rgblabResult = RGBandLab.RGB2Lab(img);
colorPlaneOne = (rgblabResult[0].Color).ArrayToUint8();
colorPlaneTwo = (rgblabResult[1].Color).ArrayToUint8();
colorPlaneThree = (rgblabResult[2].Color).ArrayToUint8();
//bad, coz lost negative value in a & b when saving in [0..255] range into file
outName = defPath + imgName + "_rgb2lab" + imgExtension;
break;
case "rgb2lab1976":
var rgblab1976Result = RGBandLab.RGB2Lab1976(img);
colorPlaneOne = (rgblab1976Result[0].Color).ArrayToUint8();
colorPlaneTwo = (rgblab1976Result[1].Color).ArrayToUint8();
colorPlaneThree = (rgblab1976Result[2].Color).ArrayToUint8();
//bad, coz lost negative value in a & b when saving in [0..255] range into file
outName = defPath + imgName + "_rgb2lab1976" + imgExtension;
break;
case "lab2rgb":
rgbResult = RGBandLab.Lab2RGB(img);
colorPlaneOne = rgbResult[0].Color;
colorPlaneTwo = rgbResult[1].Color;
colorPlaneThree = rgbResult[2].Color;
//very bad, coz lost a lot in converting and round everywhere...
outName = defPath + imgName + "_lab2rgb" + imgExtension;
break;
default:
colorPlaneOne = Helpers.GetPixels(img)[0].Color;
colorPlaneTwo = Helpers.GetPixels(img)[1].Color;
colorPlaneThree = Helpers.GetPixels(img)[2].Color;
outName = defPath + imgName + "_defaultNonColorSpace" + imgExtension;
break;
}
image = Helpers.SetPixels(image, colorPlaneOne, colorPlaneTwo, colorPlaneThree);
Helpers.SaveOptions(image, outName, imgExtension);
}
}