Edge Detector Evolution using Multidimensional Multiobjective Genetic Programming
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- @Misc{10.1.1.99.3617,
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author = "Yang Zhang and Peter I. Rockett",
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title = "Edge Detector Evolution using Multidimensional
Multiobjective Genetic Programming",
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howpublished = "citeseerx",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.99.3617&rep=rep1&type=pdf",
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size = "25 pages",
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abstract = "In this paper we report the evolution of a feature
extraction stage for edge detection using
multidimensional multiobjective genetic programming. We
have employed training and validation data produced
using a realistic model of the imaging physics to
evolve an n2-to-m mapping which projects the pixel
intensities of an n by n image patch into an
m-dimensional decision space. The (near-)optimal value
of m is also simultaneously determined during
evolution. A conventional Fisher linear discriminant is
then used to classify edge patterns. On the independent
validation set, the suggested edge detector is shown to
give performance superior to both the well-known
conventional Canny detector and to earlier
multi-objective genetic programming results which
projected the pattern vector into a one-dimensional
decision space. In addition, the superiority of the new
detector is also demonstrated on a hand-labeled set of
real images.",
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notes = "See \cite{Zhang:2009:EC}",
- }
Genetic Programming entries for
Yang Zhang
Peter I Rockett
Citations