Evolving a Task Specific Image Operator

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{ebner:1999:etsio,

• author = "Marc Ebner and Andreas Zell",
• title = "Evolving a Task Specific Image Operator",
• booktitle = "Evolutionary Image Analysis, Signal Processing and Telecommunications: First European Workshop, EvoIASP'99 and EuroEcTel'99",
• year = "1999",
• editor = "Riccardo Poli and Hans-Michael Voigt and Stefano Cagnoni and Dave Corne and George D. Smith and Terence C. Fogarty",
• volume = "1596",
• series = "LNCS",
• pages = "74--89",
• address = "Goteborg, Sweden",
• publisher_address = "Berlin",
• month = "28-29 " # may,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-65837-8",
• URL = "http://www-info2.informatik.uni-wuerzburg.de/mitarbeiter/marc/research/publications/uniTu/gpmoflow.ps.gz",
• DOI = "doi:10.1007/10704703_6",
• URL = "http://citeseer.ist.psu.edu/392593.html",
• abstract = "Image processing is usually done by chaining a series of well known image processing operators. Using evolutionary methods this process may be automated. In this paper we address the problem of evolving task specific image processing operators. In general, the quality of the operator depends on the task and the current environment. Using genetic programming we evolved an interest operator which is used to calculate sparse optical flow. To evolve the interest operator we define a series of criteria which need to be optimized. The different criteria are combined into an overall fitness function. Finally, we present experimental results on the evolution of the interest operator.",
• notes = "EvoIASP99'99",

}

Genetic Programming entries for Marc Ebner Andreas Zell

Citations