Texture Analysis by Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{song:2004:tabgp,
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title = "Texture Analysis by Genetic Programming",
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author = "Andy Song and Vic Ciesielski",
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pages = "2092--2099",
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booktitle = "Proceedings of the 2004 IEEE Congress on Evolutionary
Computation",
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year = "2004",
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publisher = "IEEE Press",
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month = "20-23 " # jun,
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address = "Portland, Oregon",
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ISBN = "0-7803-8515-2",
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keywords = "genetic algorithms, genetic programming, Real-world
applications",
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URL = "http://goanna.cs.rmit.edu.au/~vc/papers/cec04-song.pdf",
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DOI = "doi:10.1109/CEC.2004.1331154",
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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.",
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notes = "CEC 2004 - A joint meeting of the IEEE, the EPS, and
the IEE.",
- }
Genetic Programming entries for
Andy Song
Victor Ciesielski
Citations