Genetic Programming for Feature Detection and Image Segmentation

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InCollection{poli:1996:GPfdis,

• author = "Riccardo Poli",
• title = "Genetic Programming for Feature Detection and Image Segmentation",
• booktitle = "Evolutionary Computing",
• publisher = "Springer-Verlag",
• year = "1996",
• editor = "Terence C. Fogarty",
• number = "1143",
• series = "Lecture Notes in Computer Science",
• pages = "110--125",
• address = "University of Sussex, UK",
• month = "1-2 " # apr,
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-61749-3",
• URL = "http://cswww.essex.ac.uk/staff/rpoli/papers/Poli-AISB-1996.pdf",
• URL = "http://citeseer.ist.psu.edu/334104.html",
• DOI = "doi:10.1007/BFb0032777",
• size = "16 pages",
• abstract = "Genetic Programming is a method of program discovery/optimisation consisting of a special kind of genetic algorithm capable of operating on non-linear chromosomes (parse trees) representing programs and an interpreter which can run the programs being optimised. In this paper we describe a set of terminals and functions for the parse trees handled by genetic programming which enable it to develop effective image filters. These filters can either be used to highly enhance and detect features of interest or to build pixel-classification-based segmentation algorithms. Some experiments with medical images which show the efficacy of the approach are reported.",
• notes = "The post-workshop proceedings of the 1996 AISB workshop on evolutionary computing.",

}

Genetic Programming entries for Riccardo Poli

Citations