Edge Detection of Petrographic Images Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{BRoss2:2000:GECCO,

• author = "Brian J. Ross and Frank Fueten and Dmytro Y. Yashkir",
• title = "Edge Detection of Petrographic Images Using Genetic Programming",
• pages = "658--665",
• year = "2000",
• publisher = "Morgan Kaufmann",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000)",
• editor = "Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer",
• address = "Las Vegas, Nevada, USA",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "10-12 " # jul,
• keywords = "genetic algorithms, genetic programming",
• ISBN = "1-55860-708-0",
• URL = "http://www.cosc.brocku.ca/~bross/research/rw047.ps",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2000/RW047.pdf",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2000/RW047.ps",
• URL = "http://citeseer.ist.psu.edu/317285.html",
• size = "8 pages",
• abstract = "We discuss work in progress that uses genetic programming to evolve edge detectors for petrographic images. Microscopic images of thin sections from mineral samples are obtained using a rotating polarizer microscope. These images are then processed using a number of filters, resulting in a set of nine filtered image parameters. In order to be useful for higher--level analysis, such as automatic mineral identification, the grain boundaries within these images must be identified. Using genetic programming, edge detecting functions are evolved for this purpose. The edge detectors may use as any of the filtered image parameters as input. Since the source images are large, a subset of the images is sampled for training, and the remainder of the image is used for testing. This training data is selected with a biased random sampling strategy. The complexity of the images dictates that a generic edge detector for all mineral specimens is infeasible. Rather, the ...",
• notes = "A joint meeting of the ninth International Conference on Genetic Algorithms (ICGA-2000) and the fifth Annual Genetic Programming Conference (GP-2000) Part of \cite{whitley:2000:GECCO}",

}

Genetic Programming entries for Brian J Ross Frank Fueten Dmytro Y Yashkir

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