原文:Win8 Metro(C#)数字图像处理--2.35图像肤色检测算法
[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;
}
}