CvMat CalculateBackProjection(CvMat _image, CvHistogram hist)
{
CvMat _backProject = new CvMat(_image.Rows, _image.Cols, MonoColorMatrix);
using (CvMat _imageHSV = ConvertToHSV(_image)) // Convert the image to HSV
using (CvMat imgH = new CvMat(_image.Rows, _image.Cols, MonoColorMatrix))
using (CvMat imgS = new CvMat(_image.Rows, _image.Cols, MonoColorMatrix))
using (CvMat imgV = new CvMat(_image.Rows, _image.Cols, MonoColorMatrix))
{
// Break image into H, S, V planes
// If the image were BGR, then it would split into B, G, R planes respectively
_imageHSV.CvtPixToPlane(imgH, imgS, imgV, null); // Cv.Split also does this
// Store HSV planes as an IplImage array to pass to openCV's hist function
// TODO: Why can't BackProjection accept CvMat?
IplImage[] hsvPlanes = { Cv.GetImage (imgH), Cv.GetImage (imgS),
Cv.GetImage (imgV)};
hist.CalcBackProject(hsvPlanes, _backProject);
}
return _backProject;
}
/// <summary>
/// バックプロジェクションにより肌色領域を求める
/// </summary>
/// <param name="imgSrc"></param>
/// <param name="hsvPlanes"></param>
/// <param name="imgRender"></param>
private void RetrieveFleshRegion(IplImage imgSrc, IplImage[] hsvPlanes, IplImage imgDst)
{
int[] histSize = new int[] {30, 32};
float[] hRanges = {0.0f, 20f};
float[] sRanges = {50f, 255f};
float[][] ranges = {hRanges, sRanges};
imgDst.Zero();
using (CvHistogram hist = new CvHistogram(histSize, HistogramFormat.Array, ranges, true))
{
hist.Calc(hsvPlanes, false, null);
float minValue, maxValue;
hist.GetMinMaxValue(out minValue, out maxValue);
hist.Normalize(imgSrc.Width * imgSrc.Height * 255 / maxValue);
hist.CalcBackProject(hsvPlanes, imgDst);
}
}