matlab 2014本教程合集一習題答案

采用ComputerVisionSystemToolbox函數，完成如下程序讀取采用ComputerVisionSystemToolbox函數，完成如下程序讀取指定圖像1與圖像2，通過特征提取與匹配，完成兩幅圖像的配準ComputerVisionSystemToolbox函數編程實現上述功能。并將配準后圖像文件JPG格式保存。clear%%Step1-Load%LoadbuildingDir=fullfile(toolboxdir('vision'),'visiondemos','building');buildingScene=imageSet(buildingDir);%Displayimagestobestitched%%Step2-RegisterImages%Tocreatethepanorama,startbyregisteringsuccessiveimagepairs%Readthefirstimagefromtheimageset.I=read(buildingScene,1);%InitializefeaturesforI(1)grayImage=rgb2gray(I);points=[features,points]=extractFeatures(grayImage,tforms(buildingScene.Count)=%Iterateoverremainingimagepairsforn=2:2 %%choosetwoimage%StorepointsandfeaturesforI(n-1).pointsPrevious=points;featuresPrevious=features;%ReadI=read(buildingScene,%DetectandextractSURFfeaturesforgrayImage=points=[features,points]=extractFeatures(grayImage,grayImage=points=[features,points]=extractFeatures(grayImage,%FindcorrespondencesbetweenI(n)andI(n-indexPairs=matchFeatures(features,featuresPrevious,'Unique',matchedPoints=points(indexPairs(:,1),:);%EstimatethetransformationbetweenI(n)andI(n-'projective','Confidence',99.9,'MaxNumTrials',2000);%ComputeT(1)*...*T(n-1)*T(n)imageSize=%alltheimagesarethesame%Computetheoutputlimits fori=1:numel(tforms)avgXLim=mean(xlim,[~,idx]=centerIdx=centerImageIdx=%Finally,applythecenterimage'sinversetransformtoalltheothers.Tinv=invert(tforms(centerImageIdx));fori=tforms(i).T=Tinv.T*%%Step3-Initializethefori=%fori=%FindtheminimumandmaximumoutputlimitsxMin=min([1;xlim(:)]);xMax=max([imageSize(2);yMin=min([1;yMax=max([imageSize(1);%Widthandheightof=round(xMax-height=round(yMax-%Initializethe"empty"panorama.panorama=zeros([heightwidth3],'like',I);%%Step4-Createtheblender=vision.AlphaBlender('Operation','Binarymask',...'MaskSource','Inputport');%Createa2-Dspatialreferenceobjectdefiningthesizeofthepanorama.xLimits=[xMinxMax];yLimits=[yMinpanoramaView=imref2d([heightwidth],xLimits,%Createthepanorama.buildingScene.Countfori=1:2I=read(buildingScene,%TransformIintothewarpedImage=imwarp(I,tforms(i),'OutputView',%Createanmaskfortheoverlay=%Cleanupedgeartifactsinthemaskandconverttoabinaryimage.warpe