mk:evoiasp01

Summary

Genetic algorithm based heuristic measure for pattern similarity in Kirlian photographs. Mario Köppen, Bertram Nickolay and Hendrik Treugut. In Proceedings of the 2001 Workshop on Evolutionary Image Analysis and Signal Processing (EvoIASP2001?), Lake Como, Italy, 2001.

Abstract

This paper presents the use of a genetic algorithm based heuristic measure for quantifying perceptable similarity of visual patterns by the example of Kirlian photographs. Measuring similarity of such patterns can be considered a trade-off between quantifying strong similarity for some parts of the pattern, and the neglection of the accidental abscense of other pattern parts as well. For this reason, the use of a dynamic measure instead of a static one is motivated. Due to their well-known schemata processing abilities, genetic algorithm seem to be a good choice for "performing" such a measurement. The results obtained from a real set of Kirlian images shows that the ranking of the proposed heuristic measure is able to reflect the apparent visual similarity ranking of Kirlian patterns.

Bibtex entry

@INPROCEEDINGS { mk:evoiasp01,
    ABSTRACT = { This paper presents the use of a genetic algorithm based heuristic measure for quantifying perceptable similarity of visual patterns by the example of Kirlian photographs. Measuring similarity of such patterns can be considered a trade-off between quantifying strong similarity for some parts of the pattern, and the neglection of the accidental abscense of other pattern parts as well. For this reason, the use of a dynamic measure instead of a static one is motivated. Due to their well-known schemata processing abilities, genetic algorithm seem to be a good choice for "performing" such a measurement. The results obtained from a real set of Kirlian images shows that the ranking of the proposed heuristic measure is able to reflect the apparent visual similarity ranking of Kirlian patterns. },
    AUTHOR = { Mario Köppen and Bertram Nickolay and Hendrik Treugut },
    BOOKTITLE = { Proceedings of the 2001 Workshop on Evolutionary Image Analysis and Signal Processing (EvoIASP2001?), Lake Como, Italy },
    MODIFIED = { 2008-02-28 15:52:02 +0900 },
    HASABSTRACT = { Yes },
    PDF = { evoiasp01.pdf },
    TITLE = { Genetic algorithm based heuristic measure for pattern similarity in Kirlian photographs },
    YEAR = { 2001 },
}

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News

Next conferences COMPSAC 2014 (Vasteras, Sweden, July 2014), INCoS-2014 (Salerno, Italy, September 2014).

New edited book "Soft Computing in Industrial Applications", V. Snasel, P. Kroemer, M. Koeppen, G. Schaefer, Springer AISC 223, July 2013.