新手学习opencv四：Mat和IplImage简单处理图像耗时

      处理目的：对一张读入的图像，进行灰度值反转，即255减去原始灰度值。

      循环200次，取平均耗时。

#include "cv.h"#include "highgui.h"#include <iostream>using namespace cv;using namespace std;int main(){string imageName ="1001.jpg";Mat src = imread(imageName,1);Mat res = Mat::zeros(src.rows,src.cols,src.type());long int count = 0;float num = 0;double t1 = (double)getTickCount();for(int n=0;n<200;n++){for (int i = 0; i < src.rows; i++){uchar* data= res.ptr<uchar>(i); // 每一行图像的指针uchar* idata= src.ptr<uchar>(i); // 每一行图像的指针for (int j = 0; j < src.cols*src.channels(); j++){*data++=255-(*idata++);  }}}t1= ((double)getTickCount() - t1)/getTickFrequency()/200;imshow("src",src);imshow("result1",res);///////////////////////////////int nl= src.rows; int nc= src.cols * src.channels(); if (src.isContinuous()&&res.isContinuous())  {nc= nc*nl; nl= 1;  }double t2 = (double)getTickCount();for(int n=0;n<200;n++){for (int i=0; i<nl; i++){uchar* data= res.ptr<uchar>(i); uchar* idata= src.ptr<uchar>(i);for (int j=0; j<nc; j++){*data++=255-(*idata++);  }    }}t2= ((double)getTickCount() - t2)/getTickFrequency()/200; imshow("src2",src);imshow("result2",res);//////////////IplImage类遍历//////////////IplImage * img = cvLoadImage("1001.jpg");IplImage *res2=cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,img->nChannels);char  *data = img->imageData;int step = img->widthStep;int chanel = img->nChannels;char  *outdata = res2->imageData;double t3= (double)getTickCount();for(int n=0;n<200;n++){for(int i=0;i<img->height;i++){for(int j=0;j<img->width;j++){outdata[i*step + j*chanel] = 255-data[i*step + j*chanel];outdata[i*step + j*chanel+1] = 255-data[i*step + j*chanel + 1];outdata[i*step + j*chanel+2] = 255-data[i*step + j*chanel + 2];}}}t3= ((double)getTickCount() - t3)/getTickFrequency()/200; cvNamedWindow("yaunshi");cvShowImage("yaunshi",img);cvNamedWindow("result3");cvShowImage("result3",res2);cout <<"Mat类简单处理耗时1：" << t1 << endl;cout <<"Mat类简单处理耗时2：" << t2 << endl;cout <<"IplImage类简单处理耗时："<<t3<< endl;cvWaitKey(0);cvReleaseImage(&img);cvReleaseImage(&res2);cvDestroyWindow("yaunshi");cvDestroyWindow("result3");return 0;}