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Optimization of Weighted Vector Directional Filters Using an Interactive Evolutionary Algorithm

Mist, Joseph James and Gibson, Stuart James (2013) Optimization of Weighted Vector Directional Filters Using an Interactive Evolutionary Algorithm. In: Blum, Christian and Alba, Enrique, eds. Proceedings of the 15th annual conference companion on Genetic and evolutionary computation. GECCO Genetic and Evolutionary Computation Conference . ACM, New York, USA, pp. 1691-1694. ISBN 978-1-4503-1964-5. (doi:10.1145/2464576.2482754) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:35417)

Language: English

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Weighted vector directional filters are used to enhance multichannel image data and have attracted a lot of interest from researchers in the image processing community. This paper describes a novel method for deriving the weights of a vector directional filter that uses an interactive evolution strategy. We performed an empirical study in which 30 participants each developed two filters using our approach. Each participant compared the performance of his/her filters to the basic vector directional filter and a filter that had previously been developed using a genetic algorithm. Of the filters studied, our interactive approach was the most effective at removing salt and pepper noise for the case when the percentage of corrupt image pixels was low.

Item Type: Book section
DOI/Identification number: 10.1145/2464576.2482754
Uncontrolled keywords: vector directional filter; interactive evolutionary algorithm; evolution strategy; image quality measure; spatial filters
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction
Divisions: Divisions > Division of Natural Sciences > Physics and Astronomy
Depositing User: Stuart Gibson
Date Deposited: 11 Oct 2013 09:08 UTC
Last Modified: 16 Nov 2021 10:12 UTC
Resource URI: (The current URI for this page, for reference purposes)
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