[函数名称]

肤色检测函数SkinDetectProcess(WriteableBitmap src)

[算法说明]

这个算法是一篇学术论文算法的实现，论文名字为“基于韧脸检测和颜色分析的红眼自动消除”(作者金秋明，王朔中)，主要是采集并统计肤色像素，得到肤色像素在RGB颜色空间中的分布范围，以此作为像素是否为肤色像素的判断标准及约束条件。具体内容大家可以在网络中搜索，由统计结果得到的肤色范围如下公式2-(45),2-(46)所示:

<strong><span style="font-size:14px;">[函数代码]</span></strong>/// <summary>/// Skin detection./// </summary>/// <param name="src">The source image.</param>/// <returns></returns>public static WriteableBitmap SkinDetectProcess(WriteableBitmap src)36肤色检测 {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 R, G, B, S;double r, g, b;for (int i = 0; i < temp.Length; i += 4){B = tempMask[i];G = tempMask[i + 1];R = tempMask[i + 2];S = R + G + B;r = (double)R / (double)(R + G + B + 1.0);g = (double)G / (double)(R + G + B + 1.0);b = (double)B / (double)(R + G + B + 1.0);if (S != 0){if ((r > (double)(95.0 / (double)S)) && (r < 1 - (double)(90.0 / (double)S)) && (g > (double)(50.0 / (double)S)) && ((r - g) > (double)(30.0 / (double)S)) && (r - g < 0.2)){temp[i] = (byte)B;temp[i+1] = (byte)G;temp[i+2] = (byte)R;}else{temp[i] = 0;temp[i + 1] = 0;temp[i + 2] = 0;}}else{temp[i] = 0;temp[i + 1] = 0;temp[i + 2] = 0;}}Stream sTemp = srcImage.PixelBuffer.AsStream();sTemp.Seek(0, SeekOrigin.Begin);sTemp.Write(temp, 0, w * 4 * h);return srcImage;}else{return null;}}