A novel genetic programming based morphological image analysis algorithm

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

@InProceedings{Wang:2010:gecco,
  author =       "Jun Wang2 and Ying Tan",
  title =        "A novel genetic programming based morphological image
                 analysis algorithm",
  booktitle =    "GECCO '10: Proceedings of the 12th annual conference
                 on Genetic and evolutionary computation",
  year =         "2010",
  editor =       "Juergen Branke and Martin Pelikan and Enrique Alba and 
                 Dirk V. Arnold and Josh Bongard and 
                 Anthony Brabazon and Juergen Branke and Martin V. Butz and 
                 Jeff Clune and Myra Cohen and Kalyanmoy Deb and 
                 Andries P Engelbrecht and Natalio Krasnogor and 
                 Julian F. Miller and Michael O'Neill and Kumara Sastry and 
                 Dirk Thierens and Jano {van Hemert} and Leonardo Vanneschi and 
                 Carsten Witt",
  isbn13 =       "978-1-4503-0072-8",
  pages =        "979--980",
  keywords =     "genetic algorithms, genetic programming, Poster",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Portland, Oregon, USA",
  DOI =          "doi:10.1145/1830483.1830659",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "This paper gives an applicable genetic programming(GP)
                 approach to solve the binary image analysis and gray
                 scale image enhancement problems. By showing a section
                 of binary image and the corresponding goal image, this
                 algorithm automatically produces a mathematical
                 morphological operation sequence to transform the
                 target into the goal. While the operation sequence is
                 applied to the whole image, the objective of image
                 analysis is achieved. With well-defined chromosome
                 structure and evolution strategy, the effectiveness of
                 evolution is promoted and more complex morphological
                 operations can be composed in a short sequence. In
                 addition, this algorithm is also applied to infrared
                 finger vein grey scale images to enhance the region of
                 interest. Whose effect is examined by an application of
                 identity authentication, and the accuracy of
                 authentication is promoted.",
  notes =        "Also known as \cite{1830659} GECCO-2010 A joint
                 meeting of the nineteenth international conference on
                 genetic algorithms (ICGA-2010) and the fifteenth annual
                 genetic programming conference (GP-2010)",
}

Genetic Programming entries for Jun Wang2 Ying Tan

Citations