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Published in:
2013 | OriginalPaper | Chapter
3D LBP-Based Rotationally Invariant Region Description
Authors : Jyotirmoy Banerjee, Adriaan Moelker, Wiro J. Niessen, Theo van Walsum
Published in: Computer Vision - ACCV 2012 Workshops
Publisher: Springer Berlin Heidelberg
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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.