problem with image registration using BRISK

2 visualizaciones (últimos 30 días)
asmaa elyamany
asmaa elyamany el 15 de En. de 2024
Comentada: asmaa elyamany el 28 de En. de 2024
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 comentario
Image Analyst
Image Analyst el 15 de En. de 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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Respuestas (1)

Udit06
Udit06 el 17 de En. de 2024
Editada: Udit06 el 17 de En. de 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 comentario
asmaa elyamany
asmaa elyamany el 28 de En. de 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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