public static Image <Gray, Byte> HistSkinDetect(BGRTree skinTree, Image <Bgr, Byte> inputImg, double minThresh)
{
Image <Gray, Byte> resultImg = new Image <Gray, Byte>(inputImg.Size);
int height = resultImg.Height;
int width = resultImg.Width;
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
Bgr bgrPix = inputImg[i, j];
//int freqSkin = skinTree.GetFreq(bgrPix);
//if (freqSkin > 0)
//{
// int freqNSkin = nSkinTree.GetFreq(bgrPix);
// if (freqSkin >= freqNSkin)
// resultImg.Data[i, j, 0] = 255;
//}
double probSkin = skinTree.GetProb(bgrPix);
if (probSkin >= minThresh)
{
resultImg.Data[i, j, 0] = 255;
}
}
}
return(resultImg);
}
public static Image <Gray, Byte> HistSkinDetect(BGRTree skinTree, Image <Bgr, Byte> inputImg, int minFreq)
{
Image <Gray, Byte> resultImg = new Image <Gray, Byte>(inputImg.Size);
// CvInvoke.CvtColor(inputImg, resultImg, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);
int height = resultImg.Height;
int width = resultImg.Width;
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
Bgr bgrPix = inputImg[i, j];
int freqSkin = skinTree.GetFreq(bgrPix);
if (freqSkin >= minFreq)
{
resultImg.Data[i, j, 0] = 255;
}
}
}
return(resultImg);
}
public void HistSkinDetectWithTrain(BGRTree skinTree, BGRTree nSkinTree, Image <Bgr, Byte> inputImg,
ref Image <Gray, Byte> outImg, ref string[] logFile, bool enableLog = false)
{
outImg = new Image <Gray, Byte>(inputImg.Size);
int height = outImg.Height;
int width = outImg.Width;
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
Bgr bgrPix = inputImg[i, j];
int probSkin = skinTree.GetFreq(bgrPix);
if (probSkin > 0.0)
{
int probNSkin = nSkinTree.GetFreq(bgrPix);
if (probSkin >= probNSkin)
{
outImg.Data[i, j, 0] = 255;
}
}
}
}
}
