LBP-Motivated Colour Texture Classification

Raquel Bello-Cerezo, Paul Fieguth, Francesco Bianconi; Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018, pp. 0-0

Abstract

In this paper we investigate extensions of Local Binary Patterns (LBP), Improved Local Binary Patterns (ILBP) and Extended Local Binary Patterns (ELBP) to colour textures via two different strategies: intra-/inter-channel features and colour orderings. We experimentally evaluate the proposed methods over 15 datasets of general and biomedical colour textures. Intraand inter-channel features from the RGB space emerged as the best descriptors and we found that the best accuracy was achieved by combining multi-resolution intra-channel features with single-resolution inter-channel features.

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[bibtex]
@InProceedings{Bello-Cerezo_2018_ECCV_Workshops,
author = {Bello-Cerezo, Raquel and Fieguth, Paul and Bianconi, Francesco},
title = {LBP-Motivated Colour Texture Classification},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV) Workshops},
month = {September},
year = {2018}
}