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International Workshop on Fuzzy Logic in Artificial Intelligence

FLAI 1995: Fuzzy Logic in Artificial Intelligence Towards Intelligent Systems pp 225–239Cite as

Structure cognition from images

  • Image Processing and Computer Vision
  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1188))

Abstract

Inference of structures in an image based on a fuzzy logic approach to perceptual organization is presented. Fuzzy sets and logic are useful for representing organization properties and for inference. The emphasis is here on an iterative scheme of inference of structures from lower level tokens, rather than on search. Learning to perform perceptual organization is also discussed.

The order of authors' names is strictly alphabetical. Address correspondence to either author.

Research done while both authors were with the Laboratory for International Fuzzy Enginering (LIFE), Yokohama, Japan.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering and Computer Science, University of Cincinnati, 45221-0030, Cincinnati, Ohio, USA

    Anca L. Ralescu

  2. Department of Engineering Mathematics, Bristol University, Bristol, UK

    James G. Shanahan

Authors
  1. Anca L. Ralescu
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  2. James G. Shanahan
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Editor information

Trevor P. Martin Anca L. Ralescu

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© 1997 Springer-Verlag Berlin Heidelberg

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Ralescu, A.L., Shanahan, J.G. (1997). Structure cognition from images. In: Martin, T.P., Ralescu, A.L. (eds) Fuzzy Logic in Artificial Intelligence Towards Intelligent Systems. FLAI 1995. Lecture Notes in Computer Science, vol 1188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62474-0_17

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  • DOI: https://doi.org/10.1007/3-540-62474-0_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62474-5

  • Online ISBN: 978-3-540-49732-5

  • eBook Packages: Springer Book Archive

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