Share Email Print

Journal of Electronic Imaging

Color local binary patterns: compact descriptors for texture classification
Author(s): Audrey Ledoux; Olivier Losson; Ludovic Macaire
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Texture description is a challenging problem with color images. Despite some attempts to include colors in local binary patterns (LBPs), no proposal has emerged as a color counterpart of grayscale LBPs. This is because colors are defined by vectors that are not naturally ordered and several ways exist to compare them. We propose an LBP extension that takes the vector information of color into account due to a color order. As several color orders are available and the selection of the most suitable one is difficult, we combine two of them in a texture descriptor called “mixed color order LBPs.” This small-size feature provides good performance on several benchmark databases for two classification problems with regard to larger-size LBP-based features of color textures.

Paper Details

Date Published: 4 May 2016
PDF: 12 pages
J. Electron. Imag. 25(6) 061404 doi: 10.1117/1.JEI.25.6.061404
Published in: Journal of Electronic Imaging Volume 25, Issue 6
Show Author Affiliations
Audrey Ledoux, Univ. des Sciences et Technologies de Lille (France)
Olivier Losson, Univ. des Sciences et Technologies de Lille (France)
Ludovic Macaire, Univ. des Sciences et Technologies de Lille (France)

© SPIE. Terms of Use
Back to Top