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
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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服务器之家。
原文链接：https://blog.csdn.net/susu_love/article/details/53334682
