problem with image registration using BRISK

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 Kommentar

Image Analyst
Image Analyst am 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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Antworten (1)

Udit06
Udit06 am 17 Jan. 2024
Bearbeitet: Udit06 am 17 Jan. 2024

0 Stimmen

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 Kommentar

thank you for your answer i have updated my question, would you take a look on it?
thanks in advance

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am 15 Jan. 2024

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am 28 Jan. 2024

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