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

Thanh Phuong Nguyen; Antoine Manzanera

doi:10.1007/978-3-319-16628-5_38

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Computer Vision - ACCV 2014 Workshops - Revised Selected Papers
Editors	C.V. Jawahar, Shiguang Shan
Publisher	Springer Verlag
Pages	527-540
Number of pages	14
ISBN (Print)	9783319166278
DOIs	https://doi.org/10.1007/978-3-319-16628-5_38
Publication status	Published - 1 Jan 2015
Event	12th Asian Conference on Computer Vision, ACCV 2014 - Singapore, Singapore Duration: 1 Nov 2014 → 2 Nov 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9008
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th Asian Conference on Computer Vision, ACCV 2014
Country/Territory	Singapore
City	Singapore
Period	1/11/14 → 2/11/14

Access to Document

10.1007/978-3-319-16628-5_38

Cite this

Nguyen, T. P., & Manzanera, A. (2015). Incorporating two first order moments into LBP-based operator for texture categorization. In C. V. Jawahar, & S. Shan (Eds.), Computer Vision - ACCV 2014 Workshops - Revised Selected Papers (pp. 527-540). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9008). Springer Verlag. https://doi.org/10.1007/978-3-319-16628-5_38

Nguyen, Thanh Phuong ; Manzanera, Antoine. / Incorporating two first order moments into LBP-based operator for texture categorization. Computer Vision - ACCV 2014 Workshops - Revised Selected Papers. editor / C.V. Jawahar ; Shiguang Shan. Springer Verlag, 2015. pp. 527-540 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Incorporating two first order moments into LBP-based operator for texture categorization",

abstract = "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.",

author = "Nguyen, \{Thanh Phuong\} and Antoine Manzanera",

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Nguyen, TP & Manzanera, A 2015, Incorporating two first order moments into LBP-based operator for texture categorization. in CV Jawahar & S Shan (eds), Computer Vision - ACCV 2014 Workshops - Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9008, Springer Verlag, pp. 527-540, 12th Asian Conference on Computer Vision, ACCV 2014, Singapore, Singapore, 1/11/14. https://doi.org/10.1007/978-3-319-16628-5_38

Incorporating two first order moments into LBP-based operator for texture categorization. / Nguyen, Thanh Phuong; Manzanera, Antoine.
Computer Vision - ACCV 2014 Workshops - Revised Selected Papers. ed. / C.V. Jawahar; Shiguang Shan. Springer Verlag, 2015. p. 527-540 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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DO - 10.1007/978-3-319-16628-5_38

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SN - 9783319166278

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computer Vision - ACCV 2014 Workshops - Revised Selected Papers

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T2 - 12th Asian Conference on Computer Vision, ACCV 2014

Y2 - 1 November 2014 through 2 November 2014

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Nguyen TP, Manzanera A. Incorporating two first order moments into LBP-based operator for texture categorization. In Jawahar CV, Shan S, editors, Computer Vision - ACCV 2014 Workshops - Revised Selected Papers. Springer Verlag. 2015. p. 527-540. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-16628-5_38

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

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