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Information Journal Paper

Title

APPLICATIONS OF CELLULAR LEARNING AUTOMATA TO IMAGE PROCESSING

Author(s)

 HEYDARI M.R.

Pages

  1101-1126

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 designing 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.‎

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    APA: Copy

    MEYBODI, M.R., & KHARAZMI, M.R.. (2003). APPLICATIONS OF CELLULAR LEARNING AUTOMATA TO IMAGE PROCESSING. AMIRKABIR, 14(56-A), 1101-1126. SID. https://sid.ir/paper/735/en

    Vancouver: Copy

    MEYBODI M.R., KHARAZMI M.R.. APPLICATIONS OF CELLULAR LEARNING AUTOMATA TO IMAGE PROCESSING. AMIRKABIR[Internet]. 2003;14(56-A):1101-1126. Available from: https://sid.ir/paper/735/en

    IEEE: Copy

    M.R. MEYBODI, and M.R. KHARAZMI, “APPLICATIONS OF CELLULAR LEARNING AUTOMATA TO IMAGE PROCESSING,” AMIRKABIR, vol. 14, no. 56-A, pp. 1101–1126, 2003, [Online]. Available: https://sid.ir/paper/735/en

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