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A New Approach for Recognition of Mosaic Textures by LBP Based On RGB Model

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Author(s): L.Sumalatha | B.Sujatha

Journal: Signal & Image Processing
ISSN 2229-3922

Volume: 4;
Issue: 1;
Start page: 65;
Date: 2013;
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Keywords: Local binary patterns | Histogram | LBP-CS | LBP-HS

ABSTRACT
The method is based on recognizing that certain local binary patterns, termed are fundamental propertiesof local image texture and their occurrence histogram is proven to be a very powerful texture feature.TheLocal Binary Pattern (LBP) is a texture descriptorbased on the probability of occurrence of elementarybinary patterns (texels) defined over a circular window. A new feature set derived from the LBP, called theLBP-Constant-Symmetry (LBP-CS) and LBP-High-Symmetry (LBP-HS) are proposed for recognition ofstone textures. The features are computed from eachband of an isotropic color LBP Matrix for recognition.The tests were conducted in a variety of industrialsamples. The obtained results are promising and showthe possibility of efficiently recognizing complexindustrial products based on color and texture featur

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