Fan-shaped Patch Local Binary Patterns for Texture Classification

Yuxing Tang 1 Charles-Edmond Bichot 1 Chao Zhu 1
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : In this paper, we present a new distinctive feature for tex- ture classification, the fan-shaped patch local binary pat- terns (FP-LBP). The proposed FP-LBP operator extends the traditional LBP operator by encoding the difference be- tween each central pixel with the average value of its neigh- boring fan-shaped patches, instead of only using its neigh- boring pixels. By this way, FP-LBP not only preserves more information of local structures than the traditional LBP, but also keeps relatively lower dimensionality, espe- cially when larger radius and more neighboring pixels are considered. Moreover, the “uniform” and rotation invari- ant FP-LBP are also defined similarly to the traditional LBP. The proposed descriptors are evaluated on two pop- ular texture databases: CUReT and KTH-TIPS, and the ex- perimental results show that FP-LBP outperforms the tra- ditional LBP descriptor with a smaller feature dimension. Moreover, the proposed method achieves higher classifica- tion accuracy than most of the state-of-the-art methods on both databases.
Type de document :
Communication dans un congrès
International Workshop on Content-Based Multimedia Indexing (CBMI), Jun 2013, Veszprém, Hungary. IEEE, pp.115-120, 2013, 〈10.1109/CBMI.2013.6576566〉
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https://hal.archives-ouvertes.fr/hal-01339228
Contributeur : Équipe Gestionnaire Des Publications Si Liris <>
Soumis le : mercredi 29 juin 2016 - 15:49:35
Dernière modification le : vendredi 10 novembre 2017 - 01:20:13

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Yuxing Tang, Charles-Edmond Bichot, Chao Zhu. Fan-shaped Patch Local Binary Patterns for Texture Classification. International Workshop on Content-Based Multimedia Indexing (CBMI), Jun 2013, Veszprém, Hungary. IEEE, pp.115-120, 2013, 〈10.1109/CBMI.2013.6576566〉. 〈hal-01339228〉

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