Evolving Novel Image Features Using Genetic Programming-Based Image Transforms
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Kowaliw:2009:cec,
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author = "Taras Kowaliw and Wolfgang Banzhaf and
Nawwaf Kharma and Simon Harding",
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title = "Evolving Novel Image Features Using Genetic
Programming-Based Image Transforms",
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booktitle = "2009 IEEE Congress on Evolutionary Computation",
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year = "2009",
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editor = "Andy Tyrrell",
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pages = "2502--2507",
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address = "Trondheim, Norway",
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month = "18-21 " # may,
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organization = "IEEE Computational Intelligence Society",
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publisher = "IEEE Press",
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isbn13 = "978-1-4244-2959-2",
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file = "P085.pdf",
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DOI = "doi:10.1109/CEC.2009.4983255",
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abstract = "In this paper, we use Genetic Programming (GP) to
define a set of transforms on the space of grey scale
images. The motivation is to allow an evolutionary
algorithm means of transforming a set of image patterns
into a more classifiable form. To this end, we
introduce the notion of a Transformbased Evolvable
Feature (TEF), a moment value extracted from a
GP-transformed image, used in a classification task.
Unlike many previous approaches, the TEF allows the
whole image space to be searched and augmented. TEFs
are instantiated through Cartesian Genetic Programming,
and applied to a medical image classification task,
that of detecting muscular dystrophy-indicating
inclusions in cell images. It is shown that the
inclusion of a single TEF allows for significantly
superior classification relative to predefined features
alone.",
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keywords = "genetic algorithms, genetic programming, Cartesian
Genetic Programming",
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notes = "CEC 2009 - A joint meeting of the IEEE, the EPS and
the IET. IEEE Catalog Number: CFP09ICE-CDR",
- }
Genetic Programming entries for
Taras Kowaliw
Wolfgang Banzhaf
Nawwaf Kharma
Simon Harding
Citations