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Proceedings Paper

Fuzzy logic approach to model-based image analysis
Author(s): Koji Miyajima; Anca L. Ralescu
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Paper Abstract

In this paper, we propose a model representation of objects including fuzziness and a matching method between the model and the result of features extraction from image data. In the model representation, the objects are described hierarchically and the attributes of each component such as color, shape, and size are described by fuzzy sets. The ambiguous correlations between attributes and components are described using fuzzy measure. Considering the correlations, the objects are recognized by integrating the results of the matching between the results of image processing and the attributes in the model. Finally, the method is applied to recognition of a real photograph as experimental results and their effect are discussed.

Paper Details

Date Published: 20 April 1993
PDF: 12 pages
Proc. SPIE 1827, Model-Based Vision, (20 April 1993); doi: 10.1117/12.143065
Show Author Affiliations
Koji Miyajima, Lab. for International Fuzzy Engineering Reseach (Japan)
Anca L. Ralescu, Lab. for International Fuzzy Engineering Research (Japan)


Published in SPIE Proceedings Vol. 1827:
Model-Based Vision
Hatem N. Nasr; Rodney M. Larson, Editor(s)

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