Cartesian Genetic Programming for Image Processing Tasks

Created by W.Langdon from gp-bibliography.bib Revision:1.6946

@InProceedings{Montes:2003:cancun,

• author = "H. A. Montes and J. L. Wyatt",
• title = "Cartesian Genetic Programming for Image Processing Tasks",
• booktitle = "Proceedings of Neural Networks and Computational Intelligence, NCI 2003",
• year = "2003",
• editor = "O. Castillo",
• address = "Cancun, Mexico",
• month = "19-21 " # may,
• publisher = "IASTED",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, Image Processing, Object Localisation",
• ISBN = "0-88986-347-4",
• URL = "http://www.cs.bham.ac.uk/~nah/bibtex/papers/montes03cartesian.pdf",
• size = "7 pages",
• abstract = "This paper presents experimental results on image analysis for a particular form of Genetic Programming called Cartesian Genetic Programming (CGP) in which programs use the structure of a graph represented as a linear sequence of integers. The efficency of this approach is investigated for the problem of Object Localization in a given image. This task is usually carried out by applying a series of well known image processing operators and commonly relies on the skills and expertise of the researchers. In this work, we present results from a number of runs on actual camera images, in which a set of fairly simple primitives were investigated.",
• notes = "http://www.actapress.com/Abstract.aspx?paperId=13619",

}

Genetic Programming entries for Hector A Montes Jeremy L Wyatt

Citations