Genetic Programming for Automatic Construction of Variant Features in Edge Detection
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{Fu:evoapps13,
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author = "Wenlong Fu and Mark Johnston and Mengjie Zhang",
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title = "Genetic Programming for Automatic Construction of
Variant Features in Edge Detection",
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booktitle = "Applications of Evolutionary Computing,
EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY,
EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR,
EvoRISK, EvoROBOT, EvoSTOC",
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year = "2013",
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month = "3-5 " # apr,
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editor = "Anna I. Esparcia-Alcazar and Antonio Della Cioppa and
Ivanoe {De Falco} and Ernesto Tarantino and
Carlos Cotta and Robert Schaefer and Konrad Diwold and
Kyrre Glette and Andrea Tettamanzi and
Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and
Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and
Aniko Ekart and Francisco {Fernandez de Vega} and
Sara Silva and Evert Haasdijk and Gusz Eiben and
Anabela Simoes and Philipp Rohlfshagen",
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series = "LNCS",
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volume = "7835",
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publisher = "Springer Verlag",
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address = "Vienna",
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publisher_address = "Berlin",
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pages = "354--364",
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming, Edge
Detection, Feature Construction",
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isbn13 = "978-3-642-37191-2",
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DOI = "doi:10.1007/978-3-642-37192-9_36",
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size = "11 pages",
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abstract = "Basic features for edge detection, such as
derivatives, can be further manipulated to improve
detection performance. However, how to effectively
combine different basic features remains an open issue
and needs to be investigated. In this study, Genetic
Programming (GP) is used to automatically and
effectively construct rotation variant features based
on basic features from derivatives, F-test, and
histograms of images. To reduce computational cost in
the training stage, the basic features only use the
horizontal responses to construct new horizontal
features. These new features are then combined with
their own rotated versions in the vertical direction in
the testing stage. The experimental results show that
the rotation variant features constructed by GP combine
advantages from the basic features, reduce drawbacks
from basic features alone, and improve the detection
performance",
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notes = "
EvoApplications2013 held in conjunction with
EuroGP2013, EvoCOP2013, EvoBio'2013 and EvoMusArt2013",
- }
Genetic Programming entries for
Wenlong Fu
Mark Johnston
Mengjie Zhang
Citations