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);
}
}
}
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持。
