Automatic Mineral Identification Using Genetic Programming

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

@TechReport{oai:CiteSeerPSU:369249,

• author = "B. J. Ross and F. Fueten and D. Y. Yashkir",
• title = "Automatic Mineral Identification Using Genetic Programming",
• 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 = "http://www.cosc.brocku.ca/~bross/research/cs9904.ps",
• URL = "http://citeseer.ist.psu.edu/369249.html",
• 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

Citations