Evolving a Task Specific Image Operator
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{ebner:1999:etsio,
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author = "Marc Ebner and Andreas Zell",
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title = "Evolving a Task Specific Image Operator",
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booktitle = "Evolutionary Image Analysis, Signal Processing and
Telecommunications: First European Workshop, EvoIASP'99
and EuroEcTel'99",
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year = "1999",
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editor = "Riccardo Poli and Hans-Michael Voigt and
Stefano Cagnoni and Dave Corne and George D. Smith and
Terence C. Fogarty",
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volume = "1596",
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series = "LNCS",
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pages = "74--89",
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address = "Goteborg, Sweden",
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publisher_address = "Berlin",
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month = "28-29 " # may,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-65837-8",
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URL = "http://www-info2.informatik.uni-wuerzburg.de/mitarbeiter/marc/research/publications/uniTu/gpmoflow.ps.gz",
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DOI = "doi:10.1007/10704703_6",
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URL = "http://citeseer.ist.psu.edu/392593.html",
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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.",
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notes = "EvoIASP99'99",
- }
Genetic Programming entries for
Marc Ebner
Andreas Zell
Citations