mk:fss99

Summary

Design of image exploring agent using genetic programming. Mario Köppen and Bertram Nickolay. Fuzzy Sets and Systems, 103(2):303-315, 1999.

Abstract

This paper presents a new methodology for the design of image processing algorithms. The presented approach is based on the conception and design of ``image exploring agents''. Image exploring agents iteratively run a sense-compute-act loop. While all loop processing is performed within the image on a local base, the trace of the agent, which results from the repetition of this loop, is a global image property. Hence, a given global recognition task is represented by a corresponding task of finding a suitable, local-based computation. The exploitation of genetic programming for finding suitable computational parts of the agent is considered. A case study is included, in which a crack detector is designed and improved by means of an image exploring agent. The functionality of this agent is studied, and it is used for designing an image processing algorithm for crack detection. Also, further improvements of the presented agent concept are given in this paper.

Bibtex entry

@ARTICLE { mk:fss99,
    ABSTRACT = { This paper presents a new methodology for the design of image processing algorithms. The presented approach is based on the conception and design of ``image exploring agents''. Image exploring agents iteratively run a sense-compute-act loop. While all loop processing is performed within the image on a local base, the trace of the agent, which results from the repetition of this loop, is a global image property. Hence, a given global recognition task is represented by a corresponding task of finding a suitable, local-based computation. The exploitation of genetic programming for finding suitable computational parts of the agent is considered. A case study is included, in which a crack detector is designed and improved by means of an image exploring agent. The functionality of this agent is studied, and it is used for designing an image processing algorithm for crack detection. Also, further improvements of the presented agent concept are given in this paper. },
    AUTHOR = { Mario Köppen and Bertram Nickolay },
    MODIFIED = { 2008-02-28 16:36:18 +0900 },
    DOI = { 10.1016/S0165-0114(98)00230-9 },
    HASABSTRACT = { Yes },
    JOURNAL = { Fuzzy Sets and Systems },
    NUMBER = { 2 },
    PAGES = { 303--315 },
    TITLE = { Design of image exploring agent using genetic programming },
    VOLUME = { 103 },
    YEAR = { 1999 },
    1 = { http://dx.doi.org/10.1016/S0165-0114(98)00230-9 },
}

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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.