Genetic Programming for Edge Detection Based on Accuracy of Each Training Image

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{conf/ausai/FuJZ11,
  author =       "Wenlong Fu and Mark Johnston and Mengjie Zhang",
  title =        "Genetic Programming for Edge Detection Based on
                 Accuracy of Each Training Image",
  booktitle =    "Proceedings of the 24th Australasian Joint Conference
                 Advances in Artificial Intelligence (AI 2011)",
  year =         "2011",
  editor =       "Dianhui Wang and Mark Reynolds",
  volume =       "7106",
  series =       "Lecture Notes in Computer Science",
  pages =        "301--310",
  address =      "Perth, Australia",
  month =        dec # " 5-8",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1007/978-3-642-25832-9_31",
  size =         "10 pages",
  abstract =     "This paper investigates fitness functions based on the
                 detecting accuracy of each training image. In general,
                 machine learning algorithms for edge detection only
                 focus on the accuracy based on all training pixels
                 treated equally, but the accuracy based on every
                 training image is not investigated. We employ genetic
                 programming to evolve detectors with fitness functions
                 based on the accuracy of every training image. Here,
                 average (arithmetic mean) and geometric mean are used
                 as fitness functions for normal natural images. The
                 experimental results show fitness functions based on
                 the accuracy of each training image obtain better
                 performance, compared with the Sobel detector, and
                 there is no obvious difference between the fitness
                 functions with average and geometric mean.",
  affiliation =  "School of Mathematics, Statistics and Operations
                 Research, Victoria University of Wellington, PO Box
                 600, Wellington, New Zealand",
  bibdate =      "2011-12-02",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/ausai/ausai2011.html#FuJZ11",
}

Genetic Programming entries for Wenlong Fu Mark Johnston Mengjie Zhang

Citations