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

Citations