Design of Composite Image Filters Using Interactive Genetic Programming

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

@InProceedings{Ma:2012:IBICA,
  author =       "Jingye Ma and Hideyuki Takagi",
  booktitle =    "Innovations in Bio-Inspired Computing and Applications
                 (IBICA), 2012 Third International Conference on",
  title =        "Design of Composite Image Filters Using Interactive
                 Genetic Programming",
  year =         "2012",
  pages =        "274--279",
  DOI =          "doi:10.1109/IBICA.2012.45",
  abstract =     "We combine a method for designing composite image
                 filters with interactive genetic programming (IGP).
                 Human subjective tests are used to comparatively
                 evaluate the IGP-based filter design method to a manual
                 filter design method and the multi-stage filtering
                 feature of a software photo-retouching program. The
                 composite image filter has a tree structure, with its
                 nodes consisting of multiple simple image filters,
                 arithmetic operators, arithmetic functions, constant
                 values, and the pixel value of the input image. Genetic
                 programming (GP) optimises the tree structure based on
                 the visual inspection of the IGP users, i.e. filter
                 designers. Ten filter designers design composite
                 filters using three methods: an IGP-based design
                 method, a manual-based design method, and using the
                 photo-retouching features of a commercial software
                 program to time-sequentially apply ready-made filters.
                 The designers make filters that output images
                 corresponding to the given design concepts - relaxed
                 and violent - based on their visual inspection. Twenty
                 subjects compare the obtained images in pairs and
                 evaluate which image is closer to achieving the give
                 design concept. Wilcoxon signed-rank test demonstrates
                 that the IGP-base filter design method can produce
                 filters that create images with impressions that are
                 closer to the given design concept than the other two
                 methods.",
  keywords =     "genetic algorithms, genetic programming, filtering
                 theory, image processing, IGP-based filter design
                 method, Wilcoxon signed-rank test, arithmetic
                 functions, arithmetic operators, commercial software
                 program, composite image filter design, human
                 subjective tests, interactive genetic programming,
                 manual filter design method, multistage filtering,
                 software photo-retouching program, tree structure,
                 visual inspection, Convergence, Design methodology,
                 Educational institutions, Humans, Manuals, Software,
                 image filter design, image processing, interactive
                 genetic programming",
  notes =        "Also known as \cite{6337677}",
}

Genetic Programming entries for Jingye Ma Hideyuki Takagi

Citations