OpenCV : 一种拼接图像的简易方法
用iphone拍摄的两幅图像：
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?拼接后的图像：
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相关代码如下：
//读取图像Mat leftImg=imread("left.jpg");Mat rightImg=imread("right.jpg");if(leftImg.data==NULL||rightImg.data==NULL)return;//转化成灰度图Mat leftGray;Mat rightGray;cvtColor(leftImg,leftGray,CV_BGR2GRAY);cvtColor(rightImg,rightGray,CV_BGR2GRAY);//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);}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);}//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);//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)));//保存图像imwrite("tiled.jpg",tiledImg);//显示拼接的图像imshow("tiled image",tiledImg);waitKey(0);?
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