- 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.actapress.com/Abstract.aspx?paperId=13619",
-
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 = "ACTA
press
https://www.cs.bham.ac.uk/~jlw/publications/montes03cartesian.pdf",
