直接贴上源码

来源：http://www.myexception.cn/image/1498389.html

实验效果

Left.jpg????????????????????????????

right.jpg

ImageMatch.jpg

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#include <iostream>

#include <iomanip>

#include "opencv2/core/core.hpp"

#include "opencv2/objdetect/objdetect.hpp"

#include "opencv2/features2d/features2d.hpp"

#include "opencv2/highgui/highgui.hpp"

#include "opencv2/calib3d/calib3d.hpp"

#include "opencv2/nonfree/nonfree.hpp"

#include "opencv2/imgproc/imgproc_c.h"

#include "opencv2/legacy/legacy.hpp"

#include "opencv2/legacy/compat.hpp"

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using namespace cv;

using namespace std;

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int main()

{

????Mat leftImg=imread("left.jpg");

????Mat rightImg=imread("right.jpg");

????if(leftImg.data=http://www.mamicode.com/=NULL||rightImg.data==NULL)>

????????return 0;

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????//转化成灰度图

????Mat leftGray;

????Mat rightGray;

????cvtColor(leftImg,leftGray,CV_BGR2GRAY);

????cvtColor(rightImg,rightGray,CV_BGR2GRAY);

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????//获取两幅图像的共同特征点

????int minHessian=400;

????SurfFeatureDetector detector(minHessian);

????vector<KeyPoint> leftKeyPoints,rightKeyPoints;

????detector.detect(leftGray,leftKeyPoints);

????detector.detect(rightGray,rightKeyPoints);

????SurfDescriptorExtractor extractor;

????Mat leftDescriptor,rightDescriptor;

????extractor.compute(leftGray,leftKeyPoints,leftDescriptor);

????extractor.compute(rightGray,rightKeyPoints,rightDescriptor);

????FlannBasedMatcher matcher;

????vector<DMatch> matches;

????matcher.match(leftDescriptor,rightDescriptor,matches);????

????int matchCount=leftDescriptor.rows;

????if(matchCount>15)

????{

????????matchCount=15;

????????//sort(matches.begin(),matches.begin()+leftDescriptor.rows,DistanceLessThan);

????????sort(matches.begin(),matches.begin()+leftDescriptor.rows);

????}????

????vector<Point2f> leftPoints;

????vector<Point2f> rightPoints;

????for(int i=0; i<matchCount; i++)

????{

????????leftPoints.push_back(leftKeyPoints[matches[i].queryIdx].pt);

????????rightPoints.push_back(rightKeyPoints[matches[i].trainIdx].pt);

????}

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????//获取左边图像到右边图像的投影映射关系

????Mat homo=findHomography(leftPoints,rightPoints);

????Mat shftMat=(Mat_<double>(3,3)<<1.0,0,leftImg.cols, 0,1.0,0, 0,0,1.0);

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????//拼接图像

????Mat tiledImg;

????warpPerspective(leftImg,tiledImg,shftMat*homo,Size(leftImg.cols+rightImg.cols,rightImg.rows));

????rightImg.copyTo(Mat(tiledImg,Rect(leftImg.cols,0,rightImg.cols,rightImg.rows)));

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????//保存图像

????imwrite("tiled.jpg",tiledImg);

????????

????//显示拼接的图像

????imshow("tiled image",tiledImg);

????waitKey(0);

????return 0;

}

OpenCv实现两幅图像的拼接