opencv 帧差法找出相差大的图像（包含访问mat的像素值）

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#include "stdafx.h"#include <stdio.h>#include <stdlib.h>#include <iostream>#include <fstream>#include <opencv2/core/core.hpp>#include <opencv2/highgui/highgui.hpp>#include <opencv2/imgproc/imgproc.hpp>#include <opencv2/objdetect/objdetect.hpp>#include <opencv2/ml/ml.hpp>#include <string.h>#define IMAGENO 18456using namespace std;using namespace cv;int main(int argc,char * argv()){string ImgName;char OutName[100];Mat Image,tempImage,previousImage,currentImage,resultImage;ifstream fin("ImageList.txt");//ifstream fin("new.txt");for(int num=0; num<IMAGENO && getline(fin,ImgName); num++){cout <<"读入"<<ImgName<<endl;ImgName = "E:\\Image\\" + ImgName ;Image = imread(ImgName);resize(Image,tempImage,Size(130,130));if (num == 0){cvtColor(tempImage, previousImage, CV_BGR2GRAY);sprintf(OutName,"E:\\数据集\\目标区域图像\\StudentsArea抠图筛选\\%5d.jpg",num);imwrite(OutName,Image);}if (num > 0){cvtColor(tempImage, currentImage, CV_BGR2GRAY);absdiff(currentImage,previousImage,resultImage);  //帧差法，相减threshold(resultImage, resultImage, 20, 255.0, CV_THRESH_BINARY); //二值化，像素值相差大于20则置为255，其余为0int counter = 0;// 访问mat中的像素for (int i=0; i<resultImage.rows; i++){uchar *data = resultImage.ptr<uchar>(i); //获取每一行的指针for (int j=0;j<resultImage.cols; j++){if (data[j] == 255) //访问到像素值{counter++;}}}if (counter > 4000) //达到阈值的像素数达到一定的数量则保存该图像{sprintf(OutName,"E:\\Image筛选之后\\%5d.jpg",num);imwrite(OutName,Image);}cvtColor(tempImage, previousImage, CV_BGR2GRAY); }}}

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