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Proceedings Paper

Fuzzy logic approach to object recognition
Author(s): Trung Tat Pham; Guanrong Chen
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Paper Abstract

In this paper, a linguistic approach to the problem of object recognition is outlined and fuzzy logic solution is given for this formulation. The problem under investigation is divided into two sub-problems: (1) feature extraction from a digitized image, and (2) matching features extracted against a set of pre-defined objects. Using linguistic approach, solving the problem of feature extraction yields a set of linguistic descriptions of an object from a particular digitized image. These descriptions will be matched with known patterns to derive a decision on the shape of the object. The use of fuzzy logic in matching patterns has been shown to provide satisfactory results in Monte Carlo simulations, especially in the case that there is ambiguity in the pictures. This ambiguity is often caused by a lack of extracted features in matching a pattern resulted from some viewpoint at the object or from a picture of poor quality.

Paper Details

Date Published: 22 December 1993
PDF: 10 pages
Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); doi: 10.1117/12.165056
Show Author Affiliations
Trung Tat Pham, McDonnell Douglas Aerospace (United States)
Guanrong Chen, Univ. of Houston/Univ. Park (United States)

Published in SPIE Proceedings Vol. 2061:
Applications of Fuzzy Logic Technology
Bruno Bosacchi; James C. Bezdek, Editor(s)

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