Texture Classifiers Generated by Genetic Programming

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Andy Song and Vic Ciesielski and Hugh Williams: Texture Classifiers Generated by Genetic Programming. Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pp. 243-248, IEEE Press, 12-17 May 2002.




We investigate the behaviour of image texture classifiers generated by genetic programming. We propose techniques to understand how classifiers capture textural characteristics and for discussing the effectiveness of different classifiers. Our results show that regularities of patterns can be detected by the genetic programming method without predefined knowledge

Extended Abstract


Used References

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