IEEE Trans Image Process - Completed local binary count for rotation invariant texture classification.

Tópicos

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Resumo

In this brief, a novel local descriptor, named local binary count (LBC), is proposed for rotation invariant texture classification. The proposed LBC can extract the local binary grayscale difference information, and totally abandon the local binary structural information. Although the LBC codes do not represent visual microstructure, the statistics of LBC features can represent the local texture effectively. In addition, a completed LBC (CLBC) is also proposed to enhance the performance of texture classification. Experimental results obtained from three databases demonstrate that the proposed CLBC can achieve comparable accurate classification rates with completed local binary pattern.

Resumo Limpo

brief novel local descriptor name local binari count lbc propos rotat invari textur classif propos lbc can extract local binari grayscal differ inform total abandon local binari structur inform although lbc code repres visual microstructur statist lbc featur can repres local textur effect addit complet lbc clbc also propos enhanc perform textur classif experiment result obtain three databas demonstr propos clbc can achiev compar accur classif rate complet local binari pattern

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