problem with image registration using BRISK

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asmaa elyamany
asmaa elyamany 2024 年 1 月 15 日
コメント済み: asmaa elyamany 2024 年 1 月 28 日
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 件のコメント
Image Analyst
Image Analyst 2024 年 1 月 15 日
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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回答 (1 件)

Udit06
Udit06 2024 年 1 月 17 日
編集済み: Udit06 2024 年 1 月 17 日
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 件のコメント
asmaa elyamany
asmaa elyamany 2024 年 1 月 28 日
thank you for your answer i have updated my question, would you take a look on it?
thanks in advance

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