WIT Press

Features Extraction Using Fuzzy-logic-based Object Model

Price

Free (open access)

Paper DOI

10.2495/AI940381

Volume

6

Pages

8

Published

1994

Size

613 kb

Author(s)

D. Popovic & N. Liang

Abstract

A fuzzy logic approach to pattern recognition is proposed along with the corresponding model-based problem solving algorithm suitable for recogni- tion in intelligent robotics, where a good visual orientation is required for space orientation of a working robot. For simplified pattern recognition the angle-of-sight signature is used to represent the features of the object im- age. The features, defined in this way, are then used for building a reference model base. In addition, the membership function of the reference modes was defined in order to structure the demarcation rule base. Finally, using the model base built and the rule-based algorithm proposed, the stored im- age of the "seen" object is classified as pertaining to the reference one or not. Some simulation results are included. 1. Introduction Imag

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