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/// <summary> /// 二值化映像 /// </summary> /// <param name="bmp"></param> /// <returns></returns> private static unsafe Bitmap Binaryzation(Bitmap bmp) { BitmapData dstData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.ReadWrite, bmp.PixelFormat); byte* data = (byte*)(dstData.Scan0); //將映像轉換為0,1二值得映像; int step = dstData.Stride; int means = getThreshold(data, bmp.Height * step); for (int y = 0; y < bmp.Height; y++) { for (int x = 0; x < bmp.Width * 3; x += 3) { if (data[y * step + x + 2] > means) data[y * step + x] = data[y * step + x + 1] = data[y * step + x + 2] = 255; else data[y * step + x] = data[y * step + x + 1] = data[y * step + x + 2] = 0; } } bmp.UnlockBits(dstData); return bmp; } /// <summary> /// 映像二值化 擷取閥值 /// </summary> /// <param name="inPixels"></param> /// <param name="length">height * Stride</param> /// <returns></returns> private static unsafe int getThreshold(byte* inPixels, int length) { int inithreshold = 127; int finalthreshold = 0; List<int> temp = new List<int>(); for (int index = 0; index < length; index += 3) { temp.Add(inPixels[index + 2]); } List<int> sub1 = new List<int>(); List<int> sub2 = new List<int>(); int means1 = 0, means2 = 0; while (finalthreshold != inithreshold) { finalthreshold = inithreshold; for (int i = 0; i < temp.Count(); i++) { if (temp[i] <= inithreshold) { sub1.Add(temp[i]); } else { sub2.Add(temp[i]); } } means1 = getMeans(sub1); means2 = getMeans(sub2); sub1.Clear(); sub2.Clear(); inithreshold = (means1 + means2) / 2; } return finalthreshold; } /// <summary> /// 映像二值化 擷取Means /// </summary> /// <param name="data"></param> /// <returns></returns> private static int getMeans(List<int> data) { int result = 0; int size = data.Count(); foreach (int i in data) { result += i; } return (result / size); }
C# 指標操作映像 二值化處理