Cartesian Genetic Programming for Image Processing

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Simon Harding and Juergen Leitner and 
                 Juergen Schmidhuber",
  title =        "Cartesian Genetic Programming for Image Processing",
  booktitle =    "Genetic Programming Theory and Practice X",
  year =         "2012",
  series =       "Genetic and Evolutionary Computation",
  editor =       "Rick Riolo and Ekaterina Vladislavleva and 
                 Marylyn D. Ritchie and Jason H. Moore",
  publisher =    "Springer",
  chapter =      "3",
  pages =        "31--44",
  address =      "Ann Arbor, USA",
  month =        "12-14 " # may,
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming, Image processing, Object
  isbn13 =       "978-1-4614-6845-5",
  URL =          "",
  DOI =          "doi:10.1007/978-1-4614-6846-2_3",
  abstract =     "Combining domain knowledge about both imaging
                 processing and machine learning techniques can expand
                 the abilities of Genetic Programming when used for
                 image processing. We successfully demonstrate our new
                 approach on several different problem domains. We show
                 that the approach is fast, scalable and robust. In
                 addition, by virtue of using off-the-shelf image
                 processing libraries we can generate human readable
                 programs that incorporate sophisticated domain
  notes =        "part of \cite{Riolo:2012:GPTP} published after the
                 workshop in 2013",

Genetic Programming entries for Simon Harding Juergen Leitner Jurgen Schmidhuber