Two-Step Evolution of Polymorphic Circuits for Image Multi-Filtering
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Sekanina:2012:CEC,
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title = "Two-Step Evolution of Polymorphic Circuits for Image
Multi-Filtering",
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author = "Lukas Sekanina and Vojtech Salajka and
Zdenek Vasicek",
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pages = "1481--1488",
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booktitle = "Proceedings of the 2012 IEEE Congress on Evolutionary
Computation",
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year = "2012",
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editor = "Xiaodong Li",
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month = "10-15 " # jun,
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DOI = "doi:10.1109/CEC.2012.6256164",
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address = "Brisbane, Australia",
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ISBN = "0-7803-8515-2",
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keywords = "genetic algorithms, genetic programming, Hardware
Aspects of Bio-Inspired Architectures and Systems,
Evolutionary Computer Vision, Evolvable hardware and
software",
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abstract = "This paper proposes to implement multifunctional image
filters using multifunctional gates such as polymorphic
gates or multiplexed ordinary gates. The design
procedure is based on evolutionary design and
optimization conducted using Cartesian genetic
programming (CGP). Because of the complexity of the
problem the design is decomposed to two phases. In the
first step, a multifunctional filter is evolved at the
register-transfer level (RTL) using a set of processing
elements containing functions such as minimum/maximum,
minimum/average etc. over two pixels. In the second
step, gate-level implementations of the processing
elements used in evolved filters are designed and
optimised using CGP in combination with conventional
logic synthesis tools. It is shown that resulting
filters exhibit good filtering capabilities. They are
also area-efficient in comparison with solutions based
on multiplexing of ordinary filters.",
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notes = "WCCI 2012. CEC 2012 - A joint meeting of the IEEE, the
EPS and the IET.",
- }
Genetic Programming entries for
Lukas Sekanina
Vojtech Salajka
Zdenek Vasicek
Citations