opencv：求一幅图片的LBP纹理图（c++版本）

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感觉还是使用c++版本opencv更加方便，LBP是描述的图片的局部特征，即纹理特征，有关公式和理论网上有很多我就不再重复，直接上代码。

/* * */#include "opencv2/opencv.hpp"  using namespace cv ;using namespace std ;Mat LBP(Mat src_image){    bool affiche=true;    cv::Mat Image(src_image.rows, src_image.cols, CV_8UC1);  //建立一个与src_image等高等宽的单通道图像Image    cv::Mat lbp(src_image.rows, src_image.cols, CV_8UC1);    //建立一个与src_image等高等宽的单通道图像lbp     if (src_image.channels() == 3)        cvtColor(src_image, Image, CV_BGR2GRAY);             //LBP只能处理灰度图像，这里如果传过来的是彩色照片，要转化为灰度图     unsigned center = 0;                                     //提取需要计算LBP值得中心点的灰度值    unsigned center_lbp = 0;                                 //计算center处的LBP值    //计算LBP图像    for (int row = 1; row < Image.rows-1; row++)                {        for (int col = 1; col < Image.cols-1; col++)        {            center = Image.at<uchar>(row, col);            center_lbp = 0;             if (center <= Image.at<uchar>(row - 1, col - 1))                center_lbp += 1;             if (center <= Image.at<uchar>(row - 1, col))                center_lbp += 2;             if (center <= Image.at<uchar>(row - 1, col + 1))                center_lbp += 4;             if (center <= Image.at<uchar>(row, col - 1))                center_lbp += 8;             if (center <= Image.at<uchar>(row, col + 1))                center_lbp += 16;             if (center <= Image.at<uchar>(row + 1, col - 1))                center_lbp += 32;             if (center <= Image.at<uchar>(row + 1, col))                center_lbp += 64;             if (center <= Image.at<uchar>(row + 1, col + 1))                center_lbp += 128;            lbp.at<uchar>(row, col) = center_lbp;         //把center处计算好的LBP值存放在lbp图像的相应位置        }    } if(affiche == true)            {              cv::imshow("image LBP", lbp);              waitKey(10);              cv::imshow("grayscale",Image);              waitKey(10);            }             else            {              cv::destroyWindow("image LBP");              cv::destroyWindow("grayscale");            }     return lbp;}int main(){    Mat frame1;    frame1= imread("2.jpg");    LBP(frame1);cvWaitKey(0);    return 0;}

实验结果：

1 原图

2 LBP图

参考内容：http://www.codeproject.com/Questions/863970/LBP-opencv-cplusplus-problem

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