Evolutionary Approximation of Edge Detection Circuits

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Petr Dvoracek and Lukas Sekanina",
  title =        "Evolutionary Approximation of Edge Detection
  booktitle =    "EuroGP 2016: Proceedings of the 19th European
                 Conference on Genetic Programming",
  year =         "2016",
  month =        "30 " # mar # "--1 " # apr,
  editor =       "Malcolm I. Heywood and James McDermott and 
                 Mauro Castelli and Ernesto Costa and Kevin Sim",
  series =       "LNCS",
  volume =       "9594",
  publisher =    "Springer Verlag",
  address =      "Porto, Portugal",
  pages =        "19--34",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming",
  isbn13 =       "978-3-319-30668-1",
  DOI =          "doi:10.1007/978-3-319-30668-1_2",
  abstract =     "Approximate computing exploits the fact that many
                 applications are inherently error resilient which means
                 that some errors in their outputs can safely be
                 exchanged for improving other parameters such as energy
                 consumption or operation frequency. A new method based
                 on evolutionary computing is proposed in this paper
                 which enables to approximate edge detection circuits.
                 Rather than evolving approximate edge detectors from
                 scratch, key components of existing edge detector are
                 replaced by their approximate versions obtained using
                 Cartesian genetic programming (CGP). Various
                 approximate edge detectors are then composed and their
                 quality is evaluated using a database of images. The
                 paper reports interesting edge detectors showing a good
                 tradeoff between the quality of edge detection and
                 implementation cost.",
  notes =        "Part of \cite{Heywood:2016:GP} EuroGP'2016 held in
                 conjunction with EvoCOP2016, EvoMusArt2016 and

Genetic Programming entries for Petr Dvoracek Lukas Sekanina