Share Email Print

Proceedings Paper

Discriminant Operators For The Emulation Of The Visual Receptive Fields
Author(s): M. M. Gupta; S. K. Hungenahally
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Low level visual information processing and information extraction are important aspects of any machine vision system. The biological retina is a robust visual low level preprocessor for the extraction of information in the visual channel. Extraction of transition and edge information from signals and visual images in the presence of noise is an important class of problems, both in the field of signal and image processing. In this paper we describe a class of discriminant operators for the extraction of transition information from noisy one dimensional signals. The discriminant operator, as briefly introduced in this paper, attempts to emulate the robust information extraction properties of the receptive fields found in the retina and the visual channel leading to the visual cortex. The discriminant operator, (0 operator) has differential properties with inherent aggregation. The differentiation property helps to extract transition and edge information, while the aggregation operation provides noise immunity. This theory will be used in the development of robust algorithms for robotics, medical image processing and vision prosthesis.

Paper Details

Date Published: 1 November 1989
PDF: 14 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970072
Show Author Affiliations
M. M. Gupta, University of Saskatchewan (Canada)
S. K. Hungenahally, University of Saskatchewan (Canada)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

© SPIE. Terms of Use
Back to Top