Extensions to the fuzzy pointed set with applications to image processing

Phillip A. Laplante; Divyendu Sinha

doi:10.1109/3477.484435

Extensions to the fuzzy pointed set with applications to image processing

Phillip A. Laplante, Divyendu Sinha

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

In all man-machine systems with image processing functions, an important unsolved problem arises in the treatment of uncertain and incomplete image information. Several frameworks have been suggested for handling uncertain image information including; expert systems, fuzzification, likelihood estimation, and neural networks. In this paper we review those methods. We also present a new method for handling uncertainties by unifying the representations of gray-values and uncertainty into one framework in a way that parallels fuzzy logic. This new framework is based on the application of the extended fuzzy pointed set and an associated algebra to handle uncertain information. We further show how this framework can be used in image processing and artificial intelligence.

Original language	English (US)
Pages (from-to)	21-28
Number of pages	8
Journal	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume	26
Issue number	1
DOIs	https://doi.org/10.1109/3477.484435
State	Published - 1996

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Software
Information Systems
Human-Computer Interaction
Computer Science Applications
Electrical and Electronic Engineering

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Extensions to the fuzzy pointed set with applications to image processing

Abstract

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