A Genetic Programming Based Scheme for Combining Image Operators

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Feng-Cheng Chang and Hsiang-Cheh Huang",
  booktitle =    "Eighth International Conference on Intelligent
                 Information Hiding and Multimedia Signal Processing
                 (IIH-MSP 2012)",
  title =        "A Genetic Programming Based Scheme for Combining Image
  year =         "2012",
  pages =        "215--218",
  address =      "Piraeus",
  month =        "18-20 " # jul,
  isbn13 =       "978-1-4673-1741-2",
  abstract =     "Sophisticated image processing is usually nonlinear
                 and difficult to model. In addition to the conventional
                 image processing tools, we need some alternatives to
                 bridge the gap between low-level and semantic level
                 computation. This paper presents an idea of image
                 processing scheme. We transform an image into different
                 representations; feed the representations to the proper
                 cellular automaton (CA) components to produce the
                 information images; use the information images as the
                 inputs to the combination program; and finally get the
                 processed result. To identify the needed transforms,
                 the CA transition rules, and the combination
                 expression, we adopt genetic programming (GP) and
                 cellular programming (CP) to search for the
                 configuration. The searched configuration separates the
                 parallelisable and sequential parts of the program. We
                 don't enforce the linearity of the program, and it is
                 likely that the searched result matches to the
                 nonlinear nature of human semantics.",
  keywords =     "genetic algorithms, genetic programming, cellular
                 automata, image representation, search problems,
                 transforms, CA transition rules, cellular automaton,
                 cellular programming, combination expression,
                 combination program, configuration search, image
                 operators, image processing, image representation,
                 image transformation, information images, low-level
                 computation, parallelizable program parts, semantic
                 level computation, sequential program parts, Image edge
                 detection, Programming, Semantics, Training, cellular
                 programming, image processing",
  DOI =          "doi:10.1109/IIH-MSP.2012.58",
  notes =        "Also known as \cite{6274651}",

Genetic Programming entries for Feng-Cheng Chang Hsiang-Cheh Huang