[函數名稱]html
二值圖像細化算法 WriteableBitmap ThinningProcess(WriteableBitmap src)算法
[算法說明]函數
圖像細化(Image Thinning),通常指二值圖像的骨架化(Image Skeletonization)的一種操做運算。spa
所謂的細化就是通過一層層的剝離,從原來的圖中去掉一些點,但仍要保持原來的形狀,直到獲得圖.net
像的骨架。骨架,能夠理解爲圖象的中軸。code
細化算法有不少,咱們這裏介紹一種二值圖像的快速細化算法—Zhang 細化算法,該算法是Zhang於htm
1984年提出。blog
算法過程以下:get
1,設二值圖像中0爲背景,1爲目標。目標像素的8鄰域以下圖所示:it
/// <summary> /// Zhang's fast thinning process for binary image. /// </summary> /// <param name="src">The source image.</param> /// <returns></returns> public static WriteableBitmap ThinningProcess(WriteableBitmap src)////二值圖像細化(Zhang快速細化算法) { if (src != null) { int w = src.PixelWidth; int h = src.PixelHeight; WriteableBitmap srcImage = new WriteableBitmap(w, h); byte[] temp = src.PixelBuffer.ToArray(); byte[] tempMask = (byte[])temp.Clone(); int[,] srcBytes = new int[w, h]; for (int j = 0; j < h; j++) { for (int i = 0; i < w ; i++) { srcBytes[i, j] = (tempMask[i * 4 + j * w * 4] * 0.114 + tempMask[i * 4 + 1 + j * w * 4] * 0.587 + tempMask[i * 4 + 2 + j * w * 4] * 0.299 < 128 ? 0 : 1); } } Thinning(ref srcBytes, w, h); for (int j = 0; j < h; j++) { for (int i = 0; i < w; i++) { temp[i * 4 + j * w * 4] = temp[i * 4 + 1 + j * w * 4] = temp[i * 4 + 2 + j * w * 4] = (byte)(srcBytes[i, j] * 255); } } Stream sTemp = srcImage.PixelBuffer.AsStream(); sTemp.Seek(0, SeekOrigin.Begin); sTemp.Write(temp, 0, w * 4 * h); return srcImage; } else { return null; } } private static void Thinning(ref int[,] srcBytes,int w,int h) { int[] srcTemp; int countNumber; do { countNumber = 0; for (int y = 1; y < h - 1; y++) { for (int x = 1; x < w - 1; x++) { srcTemp = new int[9] { srcBytes[x, y], srcBytes[x - 1, y - 1], srcBytes[x, y - 1], srcBytes[x + 1, y - 1], srcBytes[x + 1, y], srcBytes[x + 1, y + 1], srcBytes[x, y + 1], srcBytes[x - 1, y + 1], srcBytes[x - 1, y] }; if (srcBytes[x, y] != 1) { if (CountN(srcTemp) >= 2 && CountN(srcTemp) <= 6) { if (CountT(srcTemp) == 1) { if (srcBytes[x, y - 1] * srcBytes[x + 1, y] * srcBytes[x, y + 1] == 0) { if (srcBytes[x - 1, y] * srcBytes[x + 1, y] * srcBytes[x, y + 1] == 0) { srcBytes[x, y] = (byte)1; countNumber++; } } else { if (srcBytes[x, y - 1] * srcBytes[x + 1, y] * srcBytes[x - 1, y] == 0) { if (srcBytes[x, y - 1] * srcBytes[x, y + 1] * srcBytes[x - 1, y] == 0) { srcBytes[x, y] = (byte)1; countNumber++; } } } } } } } } } while (countNumber != 0); } private static int CountN(params int[] src) { int count = 0; for (int i = 0; i < src.Length; i++) { if (src[i] == 0) { count++; } } return count; } private static int CountT(params int[] src) { int count = 0; for (int i = 1; i < src.Length; i++) { if (src[i] == 1 && src[i - 1] == 0) { count++; } } if (src[src.Length - 1] == 0 && src[0] == 1) { count++; } return count; }