Matching two images by extracting surf features
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I want to compare the two images and recover the transformed image by extracting surf features. But I got the recovered image as a blank image. My code is given below
Iin = imread('H:\mainproject\matlabtry\OpenSURF_version1c\A.bmp'); imshow(Iin); title('Base image');
Iin=imresize(Iin,[512 512]);
% Iout = imresize(Iin, 0.7); figure;
% Iout = imrotate(Iout, 31);
Iout=imread('H:\mainproject\matlabtry\OpenSURF_version1c\A1.bmp');imshow(Iout); title('Transformed image');
Iout=imresize(Iout,[512 512]);
% detect and extract features from both images
ptsIn = detectSURFFeatures(Iin);
ptsOut = detectSURFFeatures(Iout);
[featuresIn validPtsIn] = extractFeatures(Iin, ptsIn);
[featuresOut validPtsOut] = extractFeatures(Iout, ptsOut);
% match feature vectors
index_pairs = matchFeatures(featuresIn, featuresOut);
% get matching points
matchedPtsIn = validPtsIn(index_pairs(:,1));
matchedPtsOut = validPtsOut(index_pairs(:,2));
cvexShowMatches(Iin,Iout,matchedPtsIn,matchedPtsOut);
title('Matched SURF points, including outliers');
% compute the transformation matrix using RANSAC
gte = vision.GeometricTransformEstimator;
gte.Transform = 'Nonreflective similarity';
[tform inlierIdx] = step(gte, matchedPtsOut.Location, ...
matchedPtsIn.Location);
cvexShowMatches(Iin,Iout,matchedPtsIn(inlierIdx),...
matchedPtsOut(inlierIdx),'inliersIn','inliersOut');
title('Matching inliers');
% recover the original image Iin from Iout
agt = vision.GeometricTransformer;
Ir = step(agt, im2single(Iout), tform);
figure; imshow(Ir); title('Recovered image');
input images are
</matlabcentral/answers/uploaded_files/34227/A1.bmp> outputs are
</matlabcentral/answers/uploaded_files/34230/recovered%20image.jpg> anyone please help me to solve this problem
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