Automatic Mineral Identification Using Genetic Programming

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@Article{ross:2002:mva,

• author = "Brian J. Ross and Frank Fueten and Dmytro Y. Yashkir",
• title = "Automatic Mineral Identification Using Genetic Programming",
• journal = "Machine Vision and Applications",
• year = "2001",
• volume = "13",
• number = "2",
• pages = "61--69",
• keywords = "genetic algorithms, genetic programming, mineral classification, feature space thresholding",
• URL = "http://www.cosc.brocku.ca/~bross/research/machvisapps.pdf",
• URL = "http://citeseer.ist.psu.edu/507315.html",
• DOI = "doi:10.1007/PL00013273",
• abstract = "Automatic mineral identification using evolutionary computation technology is discussed. Thin sections of mineral samples are photographed digitally using a computer-controlled rotating polarizer stage on a petrographic microscope. A suite of image processing functions is applied to the images. Filtered image data for identified mineral grains is then selected for use as training data for a genetic programming system, which automatically synthesizes computer programs that identify these grains. The evolved programs use a decision tree structure that compares the mineral image values with one other, resulting in a thresholding analysis of the multi-dimensional colour and textural space of the mineral images",
• notes = "See also \cite{oai:CiteSeerPSU:369249}",

}

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

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