Fuzzy logic approach to object recognition

Trung Tat Pham; Guanrong Chen

doi:10.1117/12.165056

22 December 1993 Fuzzy logic approach to object recognition

Trung Tat Pham, Guanrong Chen

Proceedings Volume 2061, Applications of Fuzzy Logic Technology; (1993) https://doi.org/10.1117/12.165056
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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.

Citation Download Citation

Trung Tat Pham and Guanrong Chen "Fuzzy logic approach to object recognition", Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); https://doi.org/10.1117/12.165056

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