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Applications of cellular learning automata to
image processing
Meybodi,
M.R. (Computer Engineering Department,
Amirkabir University of Technology);
Kharazmi,
M.R. Source: Amirkabir (Journal
of Science and Technology), v 14, n 56 A, Fall, 2003, p
1101-1126 Language: Persian
ISSN: 1015-0951
CODEN: AMIREB
Publisher: Amirkabir University of
Technology
Abstract: A cellular learning
automaton (CLA) is a collection of learning automata arranged in a
grid similar to cellular automata and interacts with each other.
Each learning automaton based on the actions chosen by their
neighbors tries to find its best action in order for the cellular
learning automata to reach a particular goal In this paper several
applications of cellular learning automata to desiging image
processing operations such as noise removal, image segmentation, and
feature extraction are presented. The proposed algorithms have
number of good characteristics such as: effectiveness in the
presence of noise, higher accuracy comparing to other image
processing algorithms, parallel nature, and locality. (41 refs.)
Database: Compendex
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