A GP Artificial Ant for image processing: preliminary experiments with EASEA

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{bolis:2001:EuroGP,

• author = "Enzo Bolis and Christian Zerbi and Pierre Collet and Jean Louchet and Evelyne Lutton",
• title = "A GP Artificial Ant for image processing: preliminary experiments with EASEA",
• booktitle = "Genetic Programming, Proceedings of EuroGP'2001",
• year = "2001",
• editor = "Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon",
• volume = "2038",
• series = "LNCS",
• pages = "246--255",
• address = "Lake Como, Italy",
• publisher_address = "Berlin",
• month = "18-20 " # apr,
• organisation = "EvoNET",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, Image processing, Contour detection, EASEA, Animat: Poster",
• ISBN = "3-540-41899-7",
• URL = "http://minimum.inria.fr/evo-lab/Publications/EuroGPFinal.ps.gz",
• DOI = "doi:10.1007/3-540-45355-5_19",
• size = "10 pages",
• abstract = "This paper describes how animat-based food foraging techniques may be applied to the design of low-level image processing algorithms. First, we show how we implemented the food foraging application using the EASEA software package. We then use this technique to evolve an animat and learn how to move inside images and detect high-gradient lines with a minimum exploration time. The resulting animats do not use standard scanning + filtering techniques but develop other image exploration strategies close to contour tracking. Experimental results on grey level images are presented.",
• notes = "EuroGP'2001, part of \cite{miller:2001:gp}",

}

Genetic Programming entries for Enzo Bolis Christian Zerbi Pierre Collet Jean Louchet Evelyne Lutton

Citations