LBP函数实现

void PFObjectTracker::computeLBPHistogram(IplImage *pImage, CvMat *histogram2, int x, int y, int w, int h)
{ 
// cout<<"进入计算LBP直方图部分："<<endl;
IplImage* m_cvImage = cvCreateImage(cvGetSize(pImage), 8, 1);//灰度图像
IplImage* m_cvLBPImage = cvCreateImage(cvGetSize(pImage), 8, 1);//LBP值图像
if (pImage->nChannels == 3)
{
cvCvtColor(pImage, m_cvImage, CV_BGR2GRAY);//色彩空间转换（灰色空间）
}
for(int i1=0 ; i1< histogram2->rows; i1++)
{
histogram2->data.fl[i1] = 0.0;
}
int center=0;
int center_lbp=0;
//计算每个点的LBP值
for (int row=1; row < m_cvImage->height-1; row++)
for (int col=1; col < m_cvImage->width-1; col++)
{
center = cvGetReal2D(m_cvImage, row, col);
center_lbp = 0;
if (center >= cvGetReal2D(m_cvImage, row-1, col-1))
{
center_lbp += 1;
}
if (center >= cvGetReal2D(m_cvImage, row-1, col))
{
center_lbp += 2;
}
if (center >= cvGetReal2D(m_cvImage, row-1, col+1))