/// <summary> /// Make the image Grey scale /// </summary> /// <param name="b">Image to Process</param> /// <returns>Filtered Image</returns> public static Bitmap GetGreyScaleBitmap(Bitmap b) { ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap); for (int column = 0; column < i.Bitmap.Width; column++) { for (int row = 0; row < i.Bitmap.Height; row++) { int val = i.GetGreyPixel(column, row); i.SetPixel(column, row, Color.FromArgb(val, val, val)); } } i.UnlockBitmap(); return i.Bitmap.Clone() as Bitmap; }
/// <summary> /// Make the image black and white /// </summary> /// <param name="b">Image to Process</param> /// <returns>Filtered Image</returns> public static Bitmap GetBlackAndWhiteBitmap(Bitmap b) { ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap); double[] histogram = new double[256]; for (int column = 0; column < i.Bitmap.Width; column++) { for (int row = 0; row < i.Bitmap.Height; row++) { histogram[i.GetGreyPixel(column, row)]++; } } //find the position of the max value on the left int leftK = 0; for (int k = 0; k < 128; k++) { if (histogram[k] > histogram[leftK]) leftK = k; } //find the position of the max value on the right int rightK = 0; for (int k = 128; k < 256; k++) { if (histogram[k] > histogram[rightK]) rightK = k; } //find the min value between the 2 local maxes int localMin = rightK; for (int k = leftK; k < rightK; k++) { if (histogram[k] < histogram[localMin]) localMin = k; } for (int column = 0; column < i.Bitmap.Width; column++) { for (int row = 0; row < i.Bitmap.Height; row++) { int val = (i.GetPixel(column, row).R + i.GetPixel(column, row).G + i.GetPixel(column, row).B) / 3; if (val > localMin) val = 255; else val = 0; i.SetPixel(column, row, Color.FromArgb(val, val, val)); } } i.UnlockBitmap(); return i.Bitmap.Clone() as Bitmap; }
public static Bitmap GetBlackAndWhiteBitmap2(Bitmap b) { ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap); double[] histogram = new double[256]; for (int column = 0; column < i.Bitmap.Width; column++) { for (int row = 0; row < i.Bitmap.Height; row++) { histogram[i.GetGreyPixel(column, row)]++; } } double k = b.Width * b.Height; double half = k / 2; int middle = 0; while (k > half) { k = k - histogram[middle]; middle++; } for (int column = 0; column < i.Bitmap.Width; column++) { for (int row = 0; row < i.Bitmap.Height; row++) { int val = (i.GetPixel(column, row).R + i.GetPixel(column, row).G + i.GetPixel(column, row).B) / 3; if (val > middle) val = 255; else val = 0; i.SetPixel(column, row, Color.FromArgb(val, val, val)); } } i.UnlockBitmap(); return i.Bitmap.Clone() as Bitmap; }
public static void GenerateExcelFile(Bitmap b) { ImagerBitmap i = new ImagerBitmap(b.Clone() as Bitmap); string fileName = "output.txt"; int f = 0; using (StreamWriter sw = new StreamWriter(fileName, false)) { sw.WriteLine("{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t{6}", "Index", "Row", "Column", "Red", "Green", "Blue", "Gray"); for (int column = 0; column < i.Bitmap.Width; column++) { for (int row = 0; row < i.Bitmap.Height; row++) { f++; Color c = i.GetPixel(column, row); int g = i.GetGreyPixel(column, row); sw.WriteLine("{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t{6}", f, row, column, c.R, c.G, c.B, g); } } } i.UnlockBitmap(); System.Diagnostics.Process.Start(fileName); }