Fuzzy models for image processing and application

Abstract

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.