Evolution of Approximate Functions for Image Thresholding
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- @InProceedings{Bidlo:2021:SSCI,
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author = "Michal Bidlo",
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booktitle = "2021 IEEE Symposium Series on Computational
Intelligence (SSCI)",
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title = "Evolution of Approximate Functions for Image
Thresholding",
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year = "2021",
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abstract = "This paper investigates the use of approximate
addition and multiplication for designing image
thresholding functions. Cartesian Genetic Programming
is applied for the evolutionary design of circuits
using various implementations of the approximate
operations. The results are presented for various
experimental setups and compared with the case when
only exact addition and multiplication is considered.
It will be shown that for some range of error metrics
of the approximate operations the evolution provides
solutions that are better than those provided by the
exact operations. Moreover, approximate components
allows reducing the implementation area of the
resulting functions.",
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming",
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DOI = "doi:10.1109/SSCI50451.2021.9659876",
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month = dec,
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notes = "Also known as \cite{9659876}",
- }
Genetic Programming entries for
Michal Bidlo
Citations