3D LBP-Based rotationally invariant region description

Authors:
Jyotirmoy Banerjee;Adriaan Moelker;Wiro J. Niessen;Theo van Walsum
Affiliations:
Dept. of Radiology, Erasmus MC, Rotterdam, The Netherlands,Dept. of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands;Dept. of Radiology, Erasmus MC, Rotterdam, The Netherlands;Dept. of Radiology, Erasmus MC, Rotterdam, The Netherlands,Dept. of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands;Dept. of Radiology, Erasmus MC, Rotterdam, The Netherlands,Dept. of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands
Venue:
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Year:
2012

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Abstract

Local binary patterns [LBP][1] are popular texture descriptors in many image analysis tasks. One of the important aspects of this texture descriptor is their rotational invariance. Most work in LBP has focused on 2D images. Here, we present a three dimensional LBP with a rotational invariant operator using spherical harmonics. Unlike Fehr and Burkhardt [2], the invariance is constructed implicitly, without considering all possible combinations of the pattern. We demonstrate the 3D LBP on phantom data and a clinical CTA dataset.