#include<iostream>#include<opencv2\core\core.hpp>#include<opencv2\highgui\highgui.hpp>#include<opencv2\opencv.hpp>using namespace std;using namespace cv;class LBP_Common{private:    Mat image;    Mat LBP_image;public:    LBP_Common(Mat src);    void LBP_Pixel();   //循环计算每个像素的LBP值；    void Image_Show();  //图像显示；    Mat GetImage();     //输出LBP图片；};LBP_Common::LBP_Common(Mat src){    image = src;}void LBP_Common::LBP_Pixel(){    //LBP_image = image;    int row = image.rows;       //获取图像的行；    int col = image.cols;      //获取每一行的元素；    Mat P(row, col, CV_8U, Scalar(255));    //遍历图中每一个像素，并对像素进行操作；    for (int i = 1; i < row - 1; i++){        for (int j = 1; j < col - 1; j++){            int pixel = 0;            if (image.at<uchar>(i - 1, j - 1)>image.at<uchar>(i, j)){                pixel = pixel*2 + 1;            }            else{                pixel = pixel *2 + 0;            }            if (image.at<uchar>(i-1, j)>image.at<uchar>(i, j)){                pixel = pixel *2 + 1;            }            else{                pixel = pixel *2 + 0;            }                        if (image.at<uchar>(i - 1, j + 1)>image.at<uchar>(i, j)){                pixel = pixel *2 + 1;            }            else{                pixel = pixel *2 + 0;            }            if (image.at<uchar>(i , j + 1)>image.at<uchar>(i, j)){                pixel = pixel *2 + 1;            }            else{                pixel = pixel *2 + 0;            }            if (image.at<uchar>(i + 1, j + 1)>image.at<uchar>(i, j)){                pixel = pixel *2 + 1;            }            else{                pixel = pixel *2 + 0;            }            if (image.at<uchar>(i + 1, j )>image.at<uchar>(i, j)){                pixel = pixel *2 + 1;            }            else{                pixel = pixel *2 + 0;            }            if (image.at<uchar>(i + 1, j - 1)>image.at<uchar>(i, j)){                pixel = pixel *2 + 1;            }            else{                pixel = pixel *2 + 0;            }            if (image.at<uchar>(i , j - 1)>image.at<uchar>(i, j)){                pixel = pixel *2 + 1;            }            else{                pixel = pixel *2 + 0;            }            P.at<uchar>(i, j) = pixel;        }    }    LBP_image = P;}void LBP_Common::Image_Show(){    namedWindow("src_Image", 1);    imshow("src_Image", image);    namedWindow("LBP_Image", 1);    imshow("LBP_Image", LBP_image);}Mat LBP_Common::GetImage(){    return LBP_image;}class HistoGram_Image{private:    Mat image;    MatND hist;    //直方图的相关数据：    int histSize[1];          //维度数；    float hranges[2];         //像素的最大值和最小值；    const float *ranges[1];    int channels[1];          //单通道；public:    HistoGram_Image(Mat src);    MatND GetHistgram();     //获得直方图数据；    Mat Draw_Histgram();   //绘制直方图；};HistoGram_Image::HistoGram_Image(Mat src){    image = src;    histSize[0] = 256;    hranges[0] = 0.0;    hranges[1] = 255.0;    channels[0] = 0;    ranges[0] = hranges;}MatND HistoGram_Image::GetHistgram(){    MatND Hist;    calcHist(&image,         //输入图片；              1,             //计算单张图片的直方图；              channels,      //通道数；              Mat(),         //不使用图像作为掩码；              Hist,          //返回的直方图数据；              1,             //1维直方图；              histSize,      //维数的大小；              ranges         //像素的大小范围；            );    return Hist;}Mat HistoGram_Image::Draw_Histgram(){    hist = GetHistgram();    Mat hist_Image(histSize[0], histSize[0], CV_8U, Scalar(255));    double MaxVal;    double MinVal;    minMaxLoc(hist, &MinVal, &MaxVal, 0, 0);    int hpt = static_cast<int>(0.9*histSize[0]);   //设置最高点为nbins的90%；    for (int i = 0; i < histSize[0]; i++){        float binVal = hist.at<float>(i);        int intensity = static_cast<int>(binVal*hpt / MaxVal);        //绘制两点之间的直线；        line(hist_Image, Point(i,histSize[0]), Point(i,histSize[0] - intensity), Scalar::all(0));    }    return hist_Image;}int main(){    Mat src = imread("F:/3.jpg", 1);    if (src.empty() ){        cout << "图片输入错误";        return -1;    }    Mat dist;    Mat hist_image;    cvtColor(src, dist, COLOR_BGR2GRAY);    LBP_Common LBP(dist);    LBP.LBP_Pixel();    LBP.Image_Show();    HistoGram_Image Hist(LBP.GetImage());    hist_image = Hist.Draw_Histgram();    namedWindow("hist_image", 1);    imshow("hist_image", hist_image);    waitKey(0);    return 0;}