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Image representation using distributed weighted finite automata
Y. Sivasubramanyam, Kamala Krithivasan
Published in Elsevier
2001
Volume: 46
   
Pages: 161 - 176
Abstract
Weighted finite automata (WFA) define real functions, in particular, grayness functions of graytone images. Inference algorithm that converts an arbitrary function (graytone image) into a WFA that can regenerate it is given in [7]. In this paper we define the theoretical construct of Cooperating Distributed Weighted Finite Automata with n-components (n-WFA) and study the power of this construct in various modes of acceptance. We give an inference algorithm and the de-inference algorithm for the n-WFA. © 2001 Published by Elsevier Science B.V.
About the journal
JournalData powered by TypesetElectronic Notes in Theoretical Computer Science
PublisherData powered by TypesetElsevier
ISSN15710661
Open AccessYes
Concepts (11)
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    Computational grammars
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    Distributed computer systems
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    Finite element method
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    Functions
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    Image compression
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    Inference engines
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    GRAMMER SYSTEMS
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    GRAYSCALE FUNCTION
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    IMAGE REPRESENTATION
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    WEIGHTED FINITE AUTOMATA (WFA)
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    AUTOMATA THEORY