Automatic construction of image transformation algorithms using feature based genetic image network
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- @InProceedings{Nakano:2010:cec,
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author = "Yuta Nakano and Shinichi Shirakawa and Noriko Yata and
Tomoharu Nagao",
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title = "Automatic construction of image transformation
algorithms using feature based genetic image network",
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booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-6910-9",
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abstract = "Image processing and recognition technologies are
becoming increasingly important. Automatic construction
methods for image transformation algorithms proposed to
date approximate adequate image transformation from
original images to their target images using a
combination of several known image processing filters
by evolutionary computation techniques. In this paper,
we introduce the adaptive image processing filters that
process according to the features of an input image.
The processing of the adaptive filters is decided based
on the local features of an input image. We implement
them to feed-forward genetic image network (FFGIN) that
is one of the automatic construction methods for image
transformations. Then we apply our method to the
problems of segmentation of organs and tissues in
medical images. Experimental results show that our
method constructs the effective segmentation algorithms
that extract multiple regions respectively.",
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DOI = "doi:10.1109/CEC.2010.5585981",
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notes = "WCCI 2010. Also known as \cite{5585981}",
- }
Genetic Programming entries for
Yuta Nakano
Shinichi Shirakawa
Noriko Yata
Tomoharu Nagao
Citations