opencv图像遍历方法速度对比

原文：http://blog.csdn.net/sanwandoujiang/article/details/22087973 //#include "stdafx.h" #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <iostream> using namespace cv; using namespace std; int main(int argc, char* argv[]) { Mat image = imread("14.jpg",0); Mat gray1 = Mat::zeros(image.rows,image.cols,image.type()); Mat gray2 = Mat::zeros(image.rows,image.cols,image.type()); long int count = 0; uchar num = 0; double t = (double)getTickCount(); for (int i = 0; i < image.rows; i++) { uchar* ptr = image.ptr<uchar>(i); uchar* g_ptr = gray1.ptr<uchar>(i); for (int j = 0; j < image.cols; j++) { g_ptr[j] = ptr[j]; } } t = ((double)getTickCount() - t)/getTickFrequency(); double t1 = (double)getTickCount(); for (int i=0;i<image.rows;i++) { for (int j=0;j<image.cols;j++) { gray1.at<uchar>(i,j) = image.at<uchar>(i,j); } } t1 = ((double)getTickCount() - t1)/getTickFrequency(); double t2 = (double)getTickCount(); for (int i = 0; i < image.rows; i++) { uchar* ptr = image.ptr<uchar>(i); for (int j = 0; j < image.cols; j++) { num = ptr[j]; } } t2 = ((double)getTickCount() - t2)/getTickFrequency(); double t3 = (double)getTickCount(); for (int i=0;i<image.rows;i++) { for (int j=0;j<image.cols;j++) { num = image.at<uchar>(i,j); } } t3 = ((double)getTickCount() - t3)/getTickFrequency(); cout << t*1000 <<endl; cout << t1*1000 << endl; cout << t2*1000 *1000<< endl; cout << t3*1000 *1000<< endl; getchar(); return 0; }

结果时间：

0.31934 0.949494 0.031 0.022