A New Approach for Recognition of Mosaic Textures by LBP Based On RGB Model
Sumalatha Lingamgunta, B K Sujatha · Signal & Image Processing An International Journal · 2013
The method is based on recognizing that certain local binary patterns, termed are fundamental properties of local image texture and their occurrence histogram is proven to be a very powerful texture feature.The Local Binary Pattern (LBP) is a texture descriptor based on the probability of occurrence of elementary binary patterns (texels) defined over a circular window.A new feature set derived from the LBP, called the LBP-Constant-Symmetry (LBP-CS) and LBP-High-Symmetry (LBP-HS) are proposed for recognition of stone textures.The features are computed from each band of an isotropic color LBP Matrix for recognition.The tests were conducted in a variety of industrial samples.The obtained results are promising and show the possibility of efficiently recognizing complex industrial products based on color and texture features KEYWORDS Local binary patterns, Histogram, LBP-CS, LBP-HS