Automatic Mineral Identification Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "B. J. Ross and F. Fueten and D. Y. Yashkir",
  title =        "Automatic Mineral Identification Using Genetic
  institution =  "Department of Computer SCience, Brock University",
  year =         "1999",
  type =         "Techincal Report",
  number =       "CS-99-04",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming, mineral
                 classification, feature space thresholding",
  URL =          "",
  URL =          "",
  citeseer-isreferencedby = "oai:CiteSeerPSU:48357",
  citeseer-references = "oai:CiteSeerPSU:43454; oai:CiteSeerPSU:382972",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:369249",
  rights =       "unrestricted",
  abstract =     "Automatic mineral identification using evolutionary
                 computation technology is discussed. Thin sections of
                 mineral samples are digitally photographed using a
                 computercontrolled 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{ross:2002:mva}",
  size =         "21 pages",

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