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Incorporating two first order moments into LBP-based operator for texture categorization

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Résumé

Within different techniques for texture modelling and recognition, local binary patterns and its variants have received much interest in recent years thanks to their low computational cost and high discrimination power. We propose a new texture description approach, whose principle is to extend the LBP representation from the local gray level to the regional distribution level. The region is represented by pre-defined structuring element, while the distribution is approximated using the two first statistical moments. Experimental results on four large texture databases, including Outex, KTH-TIPS 2b, CUReT and UIUC show that our approach significantly improves the performance of texture representation and classification with respect to comparable methods.

langue originaleAnglais
titreComputer Vision - ACCV 2014 Workshops - Revised Selected Papers
rédacteurs en chefC.V. Jawahar, Shiguang Shan
EditeurSpringer Verlag
Pages527-540
Nombre de pages14
ISBN (imprimé)9783319166278
Les DOIs
étatPublié - 1 janv. 2015
Evénement12th Asian Conference on Computer Vision, ACCV 2014 - Singapore, Singapour
Durée: 1 nov. 20142 nov. 2014

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9008
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

Une conférence

Une conférence12th Asian Conference on Computer Vision, ACCV 2014
Pays/TerritoireSingapour
La villeSingapore
période1/11/142/11/14

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