%0 Journal Article
%T A New Approach for Recognition of Mosaic Textures by LBP Based On RGB Model
%A L.Sumalatha
%A B.Sujatha
%J Signal & Image Processing
%D 2013
%I Academy & Industry Research Collaboration Center (AIRCC)
%X 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
%K Local binary patterns
%K Histogram
%K LBP-CS
%K LBP-HS
%U http://airccse.org/journal/sipij/papers/4113sipij06.pdf