problem with image registration using BRISK

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i am using BRISK to extract feature from remote sensing images but the extracted feature are not right
the code used is as follows:
original1 = imread('im1.tif');
ptsOriginalBRISK1 = detectBRISKFeatures(original1,'MinContrast',0.01,'MinQuality',0.7);
[featuresO1,validPtsO1] = extractFeatures(original1,ptsOriginalBRISK1);
distorted1 = imread('im2.tif');
ptsDistortedBRISK1 = detectBRISKFeatures(distorted1,'MinContrast',0.01,'MinQuality',0.7);
[featuresD1,validPtsD1] = extractFeatures(distorted1,ptsDistortedBRISK1);
Pairs11 = matchFeatures(featuresO1,featuresD1,'MatchThreshold',90,'MaxRatio',0.9);
matchedO = validPtsO1(Pairs11(:,1));
matchedD = validPtsD1(Pairs11(:,2));
[tform, inlierDistorted,inlierOriginal] = estimateGeometricTransform(matchedD,matchedO,'similarity');
figure
showMatchedFeatures(original1,distorted1,inlierOriginal,inlierDistorted,'montage')
title('Matching points (inliers only)')
legend('im1','im2')
  1 Comment
Image Analyst
Image Analyst on 15 Jan 2024
How could we possibly know that?
If you have any more questions, then attach your data and code to read it in with the paperclip icon after you read this:

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Answers (1)

Udit06
Udit06 on 17 Jan 2024
Edited: Udit06 on 17 Jan 2024
Hi Asmaa,
You can try to reduce the MetricThreshold parameter of the detectSURFFeatures function. Reducing the value of MetricThreshold parameter increases the number of blobs which may in turn increase the number of features.
Refer to the Name-Value arguments section of the following documentation for more details:
I hope this helps.
  1 Comment
asmaa elyamany
asmaa elyamany on 28 Jan 2024
thank you for your answer i have updated my question, would you take a look on it?
thanks in advance

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