Improved Region Local Binary Patterns for Image Retrieval

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Advances in Computer Science and Information Engineering

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 168))

Abstract

Two extended patterns, direction local binary pattern (D-LBP) and variance direction local binary pattern (vD-LBP) were introduced in the paper. More texture features are obtained in the new operators by introducing a variant threshold. The descriptors mentioned in the paper were firstly tested and evaluated on CUReT texture image database. Experimental results show that the two extended operators give better performance than D-LBP and vD-LBP respectively. Finally, the operators were used for trace fossils image retrieval and the results denote that the proposed operator, tvD-LBP is the most effective method for trace fossils image description in the four descriptors.

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Correspondence to **aosheng Wu .

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Wu, X., Sun, J. (2012). Improved Region Local Binary Patterns for Image Retrieval. In: **, D., Lin, S. (eds) Advances in Computer Science and Information Engineering. Advances in Intelligent and Soft Computing, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30126-1_46

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  • DOI: https://doi.org/10.1007/978-3-642-30126-1_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30125-4

  • Online ISBN: 978-3-642-30126-1

  • eBook Packages: EngineeringEngineering (R0)

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