Fuzzy logic approach to object recognition

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)547-556
Journal / PublicationProceedings of SPIE - The International Society for Optical Engineering
Volume2061
Publication statusPublished - 22 Dec 1993
Externally publishedYes

Conference

TitleApplications of Fuzzy Logic Technology 1993
PlaceUnited States
CityBoston
Period7 - 10 September 1993

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: (i) feature extraction from a digitized image, and (ii) 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.

Bibliographic Note

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