Fuzzy tools for the management of uncertainty in pattern recognition, image analysis, vision and expert systems

Abstract

The paper presents different fuzzy tools that are useful for decision-taking in pattern recognition, image processing and vision problems, and in designing expert systems when the patterns are ill-defined or the input data does not have complete, precise or reliable information. Tools are explained with several examples. Algorithms for feature ranking, elustering evaluation, quantitative indices for image processing, fuzzy enhancement/segmentation of both grey tone image and colour image, the front end compiler, and for representing rules and facts in the knowledge base are also demonstrated with various examples of real-life problems. Some of the illustrations are taken from the existing literature.