Efficient evolutionary image processing using genetic programming: Reducing computation time for generating feature images of the Automatically Construction of Tree-Structural Image Transformation (ACTIT)

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@InProceedings{Bai:2010:ISDA,
  author =       "Haiying Bai and Noriko Yata and Tomoharu Nagao",
  title =        "Efficient evolutionary image processing using genetic
                 programming: Reducing computation time for generating
                 feature images of the Automatically Construction of
                 Tree-Structural Image Transformation (ACTIT)",
  booktitle =    "10th International Conference on Intelligent Systems
                 Design and Applications (ISDA 2010)",
  year =         "2010",
  month =        nov # " 29-" # dec # " 1",
  pages =        "302--307",
  abstract =     "Using well-established techniques of Genetic
                 Programming (GP), we automatically optimise image
                 feature filters over several inputs and within
                 transformation images, improving the Automatic
                 Construction of Tree-Structural Image Transformation
                 (ACTIT) system. Our objective is to also produce
                 optimal solutions in substantially less computation
                 time than require for generating features of ACTIT. We
                 improved the algorithm feature filters in the process
                 through GP, which are expressed by trees in Automatic
                 Construction of Tree-Structural Image Transformation,
                 to reduce computation time. Through our
                 experimentation, we show that our new approach is
                 accurate and requires less computation time by
                 maintaining the feature images in conjunction with the
                 original images.",
  keywords =     "genetic algorithms, genetic programming, ACTIT,
                 automatically construction of tree-structural image
                 transformation, evolutionary image processing, image
                 feature filters, transformation images, image
                 processing",
  DOI =          "doi:10.1109/ISDA.2010.5687249",
  notes =        "Grad. Sch. of Environ. & Inf. Sci., Yokohama Nat.
                 Univ., Yokohama, Japan. Also known as \cite{5687249}",
}

Genetic Programming entries for Hai Ying Bai Noriko Yata Tomoharu Nagao

Citations