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Application of Genetic Algorithms to Texture Analysis
Author(s) -
Salek P.,
Tarasiuk J.,
Wierzbanowski K.
Publication year - 1999
Publication title -
crystal research and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.377
H-Index - 64
eISSN - 1521-4079
pISSN - 0232-1300
DOI - 10.1002/(sici)1521-4079(199909)34:8<1073::aid-crat1073>3.0.co;2-z
Subject(s) - texture (cosmology) , genetic algorithm , algorithm , set (abstract data type) , orientation (vector space) , computer science , pole figure , function (biology) , artificial intelligence , mathematics , materials science , image (mathematics) , machine learning , geometry , biology , genetics , composite material , programming language , microstructure
Application of genetic algorithms to texture analysis is presented in this paper. The genetic algorithm technique was applied to the calculation of the orientation distribution function from a set of pole figures. The results are very satisfying. The same algorithm may be also applied to other problems of texture analysis, e.g., to find an optimal texture for a given application.