利用opencv实现图像滑动窗口操作

功能：利用opencv实现图像滑动窗口操作（即利用已知尺寸的窗口遍历整幅图像，形成许多子图像）
vs2015+opencv3.1
2016.10

函数实现#ifndef SLIDINGWND_H_#define SLIDINGWND_H_//简单的滑动窗口的形成#include<iostream>#include<opencv2\opencv.hpp>using namespace std;using namespace cv;//基于矩形窗口的图像滑动窗口操作,返回值为滑动窗口的数目//@src 输入图像//@wnd 输出结果//@wndSize 滑动窗口的大小//@ x_percent 滑动窗口在x方向步长的百分比，x_step=x_percent*wndSize.width//@ y_percent 滑动窗口在y方向步长的百分比，y_step=y_percent*wndSize.heightint slidingWnd(Mat& src, vector<Mat>& wnd, Size& wndSize, double x_percent, double y_percent){    int count = 0;  //记录滑动窗口的数目    int x_step = cvCeil(x_percent*wndSize.width);    int y_step = cvCeil(y_percent*wndSize.height);    /*String wndName = "F:\\wnd\\";    char temp[1000];*/    int64 count1 = getTickCount();    double freq = getTickFrequency();    //利用窗口对图像进行遍历    for (int i = 0; i < src.cols- wndSize.width; i+=y_step)    {        for (int j = 0; j < src.rows- wndSize.height; j+=x_step)        {            Rect roi(Point(j, i), wndSize);            Mat ROI = src(roi);            wnd.push_back(ROI);            count++;        }    }    int64 count2 = getTickCount();    double time = (count2 - count1) / freq;    cout << "Time=" << time * 100 << "ms"<<endl;    cout << count << endl;    return count;}#endif // !SLIDINGWND_H_

main.cpp#include<iostream>#include<opencv2\opencv.hpp>#include"slidingWnd.h"using namespace std;using namespace cv;void main(){    String imgName = "F:\\lena_gray.jpg";    Mat src = imread(imgName);    cvtColor(src, src, COLOR_RGB2GRAY);    vector<Mat> wnd;    int count=slidingWnd(src, wnd, Size(30, 30),0.3,0.3);    imshow("src", src);    waitKey(0);}