Shift based LBP

Version 1.1.0.0 (84,7 ko) par Nikolay S.
The function implements LBP (Local Binary Pattern analysis), in a shift based manner.
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Mise à jour 21 fév. 2015

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The LBP tests the relation between pixel and it's neighbors, encoding this relation into a binary word. This allows detection of texture and more complicated patterns & features.
The function is inspired by materials published by Matti Pietikainen in http://www.cse.oulu.fi/CMV/Research/LBP . This implementation however is not totally aligned with the methods proposed by Professor Pietikainen (see Issues & Comments). The current method proposes an implementation based on shifted images- which is beneficial in run time, especially in cases of large filter support. This is also a different way of thinking about the LBP algorithm. Two image shift functions are proposed- a circshift based one- which is faster, but less accurate, and filter2 based one- which takes more time and actually is exactly the same as efficientLBP proposed before.

Citation pour cette source

Nikolay S. (2024). Shift based LBP (https://www.mathworks.com/matlabcentral/fileexchange/49787-shift-based-lbp), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2014b
Compatible avec toutes les versions
Plateformes compatibles
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Remerciements

Inspiré par : Image/matrix shift, Local binary patterns

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shiftBasedLBP/

Version Publié le Notes de version
1.1.0.0

Modified description image
1.0.0.0