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Reflection invariant local binary patterns for image texture classification

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Published:09 October 2015Publication History

ABSTRACT

In this study we modified the local binary pattern operator (LBP) to obtain the robust invariant texture patterns for image texture classification. The modified method will be able to calculate patterns which are invariant for translation, scaling, rotation and reflection. Therefore, the modified LBP is called R-LBP. Although many variation of LBP have been proposed, most of them cannot detect and recognize the patterns of reflection. Both clockwise and counter clockwise coding is used in the proposed R-LBP operator in order to derive a minimum code to representing the pattern. Experimental results show that the proposed method is effective in determining the invariant patterns for image texture classification.

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          cover image ACM Conferences
          RACS '15: Proceedings of the 2015 Conference on research in adaptive and convergent systems
          October 2015
          540 pages
          ISBN:9781450337380
          DOI:10.1145/2811411

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          Publication History

          • Published: 9 October 2015

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          RACS '15 Paper Acceptance Rate75of309submissions,24%Overall Acceptance Rate393of1,581submissions,25%

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