Automatic construction of image operators using a genetic programming approach

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Pedrino:2011:ISDA,
  author =       "Emerson Carlos Pedrino and Jose Hiroki Saito and 
                 Edilson R. R. Kato and Orides {Morandin, Jr.} and 
                 Luis Mariano {Del Val Cura} and Valentin Obac Roda and 
                 Mario L. Tronco and Roberto H. Tsunaki",
  title =        "Automatic construction of image operators using a
                 genetic programming approach",
  booktitle =    "11th International Conference on Intelligent Systems
                 Design and Applications (ISDA 2011)",
  year =         "2011",
  month =        "22-24 " # nov,
  pages =        "636--641",
  address =      "Cordoba",
  size =         "6 pages",
  abstract =     "This paper presents a methodology for automatic
                 construction of image operators using a linear genetic
                 programming approach, for binary, gray level and colour
                 image processing, where the processing solution for a
                 particular application is expressed in terms of the
                 basic morphological operators, dilation and erosion, in
                 conjunction with convolution and logical operators.
                 Genetic Programming (GP), based on concepts of genetics
                 and Darwin's principle of natural selection, to
                 genetically breed and evolve computer programs to solve
                 a wide variety of problems, is a branch of evolutionary
                 computation, and it is consolidating as a promising
                 methodology to be used in applications involving
                 pattern recognition, classification problems and
                 modelling of complex systems. Mathematical morphology
                 is based on the set theory (complete lattice), where
                 the notion of order is very important. This processing
                 technique has proved to be a powerful tool for many
                 computer vision tasks. However, the manual design of
                 complex operations involving image operators is not
                 trivial in practice. Thus, the proposed methodology
                 tries to solve these drawbacks. Some examples of
                 applications are presented and the results are
                 discussed and compared with other methods found in the
                 literature.",
  keywords =     "genetic algorithms, genetic programming, Darwin
                 principle, binary image processing, classification
                 problem, colour image processing, computer vision,
                 convolution, dilation, erosion, evolutionary
                 computation, gray level image processing, image
                 operator, linear genetic programming, morphological
                 operator, pattern recognition, set theory, computer
                 vision, image colour analysis, linear programming, set
                 theory",
  DOI =          "doi:10.1109/ISDA.2011.6121727",
  ISSN =         "2164-7143",
  notes =        "Also known as \cite{6121727}",
}

Genetic Programming entries for Emerson Carlos Pedrino Jose Hiroki Saito Edilson R R Kato Orides Morandin Jr Luis Mariano del Val Cura Valentin Obac Roda Mario Luiz Tronco Roberto Hideaki Tsunaki

Citations