8.4 局部二值模式LBP

8.4.1 经典的LPB

8.4.2 圆形LBP

#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/nonfree/features2d.hpp>
#include <opencv2/features2d/features2d.hpp>
using namespace std;
using namespace cv;
// 计算原始LBP特征
cv::Mat OLBP(cv::Mat& srcImage)  
{  
    const int nRows = srcImage.rows;
    const int nCols = srcImage.cols;
    cv::Mat resultMat(srcImage.size(), srcImage.type());
    // 遍历图像，生成LBP特征
    for(int y = 1; y < nRows-1; y++)  
    {  
        for(int x = 1; x < nCols-1; x++)  
        {  
            // 定义邻域
            uchar neighbor[8] = {0};  
            neighbor[0] = srcImage.at<uchar>(y-1, x-1);  
            neighbor[1] = srcImage.at<uchar>(y-1, x);  
            neighbor[2] = srcImage.at<uchar>(y-1, x+1);  
            neighbor[3] = srcImage.at<uchar>(y, x+1);  
            neighbor[4] = srcImage.at<uchar>(y+1, x+1);  
            neighbor[5] = srcImage.at<uchar>(y+1, x);  
            neighbor[6] = srcImage.at<uchar>(y+1, x-1);  
            neighbor[7] = srcImage.at<uchar>(y, x-1); 
            // 当前图像的处理中心 
            uchar center = srcImage.at<uchar>(y, x);  
            uchar temp = 0;  
            // 计算LBP的值 
            for(int k = 0; k < 8; k++)  
            {  
                // 遍历中心点邻域
                temp += (neighbor[k] >= center)* (1<<k);   
            }  
            resultMat.at<uchar>(y,x) = temp;   
        }  
    }
    return resultMat;  
}  
int main()  
{  
    cv::Mat srcImage = cv::imread("hand1.jpg",0);  
    if(!srcImage.data)   
        return 0;  
    Mat resultMat = OLBP(srcImage);
    cv::imshow("srcImage", srcImage);   
    cv::imshow("resultMat", resultMat);  
    cv::waitKey(0);  
    return 0;  
}