Fuzzy models for image processing and application

Pal, Sankar K. (1999) Fuzzy models for image processing and application Proceedings of the Indian National Science Academy - Part A: Physical Sciences, 65 . pp. 73-90. ISSN 0370-0046

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Various uncertainties involved in pattem recognition problems and the relevance of fuzzy set theory in handling them are, first of all, explained. This is followed by different image ambiguity measures based on fuzzy entropymid fuzzy geometry of image subsets, and a discussion on the flexibility in choosing membership functions. Some illustrations of commonly used fuzzy image processing operations are then provided, along with their significance, features and applications to some real life problems, e.g., motion frame analysis, character recognition, IRS image analysis. Most of the algorithms and tools described here were developed by the author with his colleagues. An extensive bibliography is also provided.

Item Type:Article
Source:Copyright of this article belongs to Indian National Science Academy.
Keywords:Pattern Recognition; Vision; Fuzzy Systems; Soft Computing; Image Analysis
ID Code:77761
Deposited On:14 Jan 2012 12:09
Last Modified:18 May 2016 20:53

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