opencv帧差法找出相差大的图像分享！

本文实例为大家分享了opencv帧差法找出相差大的图像，供大家参考，具体内容如下

  #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 18456  using 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0    int 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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