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%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2012/07.13.18.20
%2 sid.inpe.br/sibgrapi/2012/07.13.18.20.02
%T Image micro-pattern analysis using Fuzzy Numbers
%D 2012
%A Vieira, Raissa Tavares,
%A Chierici, Carlos Eduardo de Oliveira,
%A Ferraz, Carolina Toledo,
%A Gonzaga, Adilson,
%@affiliation University of São Paulo
%@affiliation University of São Paulo
%@affiliation University of São Paulo
%@affiliation University of São Paulo
%E Freitas, Carla Maria Dal Sasso,
%E Sarkar, Sudeep,
%E Scopigno, Roberto,
%E Silva, Luciano,
%B Conference on Graphics, Patterns and Images, 25 (SIBGRAPI)
%C Ouro Preto
%8 Aug. 22-25, 2012
%S Proceedings
%I IEEE Computer Society
%J Los Alamitos
%K micro-pattern analysis, fuzzy numbers, texture analysis.
%X This paper proposes a new methodology for micropattern analysis in digital images based on fuzzy numbers. A micro-pattern is the structure of the gray-level pixels within a neighborhood and can describe the spatial context of the image, such as edge, line, spot, blob, corner, texture, and more complex patterns. By treating a pixel neighborhood as a fuzzy set and each pixel gray-level as a fuzzy number, we can evaluate the membership degree of the central pixel to the others. We have called this method the Local Fuzzy Pattern (LFP). Using a sigmoid membership function, we proved that the proposed methodology surpasses the Hit-rate of the Local Binary Pattern (LBP), for texture classification. The LFP proved to be robust to image rotation. Moreover, our proposed formulation for the LFP is a generalization of previously published techniques, such as Texture Unit, LBP, FUNED, and Census Transform.
%@language en
%3 Image micro-pattern analysis using Fuzzy Numbers.pdf


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