Fuzzy logic approach to model-based image analysis

Koji Miyajima; Anca L. Ralescu

doi:10.1117/12.143065

20 April 1993 Fuzzy logic approach to model-based image analysis

Koji Miyajima, Anca L. Ralescu

Proceedings Volume 1827, Model-Based Vision; (1993) https://doi.org/10.1117/12.143065
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

Koji Miyajima and Anca L. Ralescu "Fuzzy logic approach to model-based image analysis", Proc. SPIE 1827, Model-Based Vision, (20 April 1993); https://doi.org/10.1117/12.143065

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