An Evidential Reasoning Approach to Outdoor Colour Scene Analysis

Abstract

A new methodology for learning fuzzy concepts from a set of examples is proposed. Fuzzy concepts can be defined by a set of examples of processed images. If a feature of an example of a concept appears to exist in an unknown image, then there is some evidence for that image to be classified as that concept. This proposed categorisation and classification process is independent of the context of its input data. Colour information can be adapted as additional sets of features for each image. By interpreting the colour scene using different colour models, a consistent classification can then be achieved by aggregating evidence from these different colour models and by resolving the conflicts of evidence between these models. Key word: Fuzzy Sets, Support Logic, Evidential Reasoning, Scene Analysis, Colour Image Processing, Pattern Recognition. 1. Introduction In this paper we would like to propose a new method for pattern recognition. This method will try to learn ill-defined concepts b..