Fast texture segmentation using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{song:2003:ftsugp,
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author = "Andy Song and Vic Ciesielski",
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title = "Fast texture segmentation using genetic programming",
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booktitle = "Proceedings of the 2003 Congress on Evolutionary
Computation CEC2003",
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editor = "Ruhul Sarker and Robert Reynolds and
Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and
Tom Gedeon",
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pages = "2126--2133",
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year = "2003",
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publisher = "IEEE Press",
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address = "Canberra",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "8-12 " # dec,
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organisation = "IEEE Neural Network Council (NNC), Engineers Australia
(IEAust), Evolutionary Programming Society (EPS),
Institution of Electrical Engineers (IEE)",
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keywords = "genetic algorithms, genetic programming, Australia,
Computer science, Dynamic range, Feature extraction,
Image segmentation, Image texture analysis, Information
technology, Partitioning algorithms, Voting, image
segmentation, image texture, complex domain, fast
segmentation, pixel values, texture classifiers,
texture region partitioning, texture segmentation,
voting strategy",
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URL = "http://goanna.cs.rmit.edu.au/~vc/papers/cec2003-song.pdf",
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DOI = "doi:10.1109/CEC.2003.1299935",
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ISBN = "0-7803-7804-0",
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abstract = "We extend genetic programming (GP) to texture
segmentation. By this method, segmentation tasks are
performed by texture classifiers which are evolved by
GP. Small cutouts sampled from images of various
textures are used for the evolution. The generated
classifiers directly use pixel values as input. Based
on these classifiers an algorithm which uses a voting
strategy to partition texture regions is developed.
The results of the investigation indicate that the
proposed method is able to accurately identify the
boundaries between different texture regions, even if
the boundaries are not regular. The method can segment
two textures as well as multiple textures. Furthermore
fast segmentation can be achieved. The speed of the
proposed texture segmentation method can be a hundred
times faster than conventional methods.",
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notes = "CEC 2003 - A joint meeting of the IEEE, the IEAust,
the EPS, and the IEE.",
- }
Genetic Programming entries for
Andy Song
Victor Ciesielski
Citations