#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 <<"讀入"<<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:\\數(shù)據(jù)集\\目標(biāo)區(qū)域圖像\\StudentsArea摳圖篩選\\%5d.jpg",num);
  imwrite(OutName,Image);
 }
 if (num > 0)
 {
  cvtColor(tempImage, currentImage, CV_BGR2GRAY);
  absdiff(currentImage,previousImage,resultImage); //幀差法，相減
  threshold(resultImage, resultImage, 20, 255.0, CV_THRESH_BINARY); //二值化，像素值相差大于20則置為255，其余為0
  int counter = 0;
  // 訪問mat中的像素
  for (int i=0; i<resultImage.rows; i++)
  {
  uchar *data = resultImage.ptr<uchar>(i); //獲取每一行的指針
  for (int j=0;j<resultImage.cols; j++)
  {
   if (data[j] == 255) //訪問到像素值
   {
   counter++;
   }   
  }
  }
  if (counter > 4000) //達(dá)到閾值的像素?cái)?shù)達(dá)到一定的數(shù)量則保存該圖像
  {
  sprintf(OutName,"E:\\Image篩選之后\\%5d.jpg",num);
  imwrite(OutName,Image);
  }
  cvtColor(tempImage, previousImage, CV_BGR2GRAY); 
 } 
 }
}