Texture Analysis by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{song:2004:tabgp,

• title = "Texture Analysis by Genetic Programming",
• author = "Andy Song and Vic Ciesielski",
• pages = "2092--2099",
• booktitle = "Proceedings of the 2004 IEEE Congress on Evolutionary Computation",
• year = "2004",
• publisher = "IEEE Press",
• month = "20-23 " # jun,
• address = "Portland, Oregon",
• ISBN = "0-7803-8515-2",
• keywords = "genetic algorithms, genetic programming, Real-world applications",
• URL = "http://goanna.cs.rmit.edu.au/~vc/papers/cec04-song.pdf",
• DOI = "doi:10.1109/CEC.2004.1331154",
• abstract = "This paper presents the use of genetic programming (GP) to a complex domain, texture analysis. Two major tasks of texture analysis, texture classification and texture segmentation, are studied. Bitmap textures are used in this investigation. In classification tasks, the results show that GP is able to evolve accurate classifiers based on texture features. Moreover by using the presented method, GP is able to evolve accurate classifiers without extracting texture features. In texture segmentation tasks, the investigation shows that a fast and accurate segmentation method can be developed based on GP generated texture classifiers.",
• notes = "CEC 2004 - A joint meeting of the IEEE, the EPS, and the IEE.",

}

Genetic Programming entries for Andy Song Victor Ciesielski

Citations