Genetic programming for edge detection using blocks to extract features
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Fu:2012:GECCO,
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author = "Wenlong Fu and Mark Johnston and Mengjie Zhang",
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title = "Genetic programming for edge detection using blocks to
extract features",
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booktitle = "GECCO '12: Proceedings of the fourteenth international
conference on Genetic and evolutionary computation
conference",
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year = "2012",
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editor = "Terry Soule and Anne Auger and Jason Moore and
David Pelta and Christine Solnon and Mike Preuss and
Alan Dorin and Yew-Soon Ong and Christian Blum and
Dario Landa Silva and Frank Neumann and Tina Yu and
Aniko Ekart and Will Browne and Tim Kovacs and
Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and
Giovanni Squillero and Nicolas Bredeche and
Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and
Martin Pelikan and Silja Meyer-Nienberg and
Christian Igel and Greg Hornby and Rene Doursat and
Steve Gustafson and Gustavo Olague and Shin Yoo and
John Clark and Gabriela Ochoa and Gisele Pappa and
Fernando Lobo and Daniel Tauritz and Jurgen Branke and
Kalyanmoy Deb",
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isbn13 = "978-1-4503-1177-9",
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pages = "855--862",
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keywords = "genetic algorithms, genetic programming, genetics
based machine learning",
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month = "7-11 " # jul,
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organisation = "SIGEVO",
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address = "Philadelphia, Pennsylvania, USA",
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DOI = "doi:10.1145/2330163.2330282",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "Single pixels can be directly used to construct
low-level edge detectors but these detectors are not
good for suppressing noise and some texture. In
general, features based on a small area are used to
suppress noise and texture. However, there is very
little guidance in the literature on how to select the
area size. In this paper, we employ Genetic Programming
(GP) to evolve edge detectors via automatically
searching for features based on flexible blocks rather
than dividing a fixed window into small areas based on
different directions. Experimental results for natural
images show that using blocks to extract features
obtains better performance than using single pixels
only to construct detectors, and that GP can
successfully choose the block size for extracting
features.",
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notes = "Also known as \cite{2330282} GECCO-2012 A joint
meeting of the twenty first international conference on
genetic algorithms (ICGA-2012) and the seventeenth
annual genetic programming conference (GP-2012)",
- }
Genetic Programming entries for
Wenlong Fu
Mark Johnston
Mengjie Zhang
Citations