A computational approach for the emulation of visual receptive fields

Author

Bhattacharya, Prabir ; Hungenahally, S.K.

Author_Institution

Dept. of Comput. Sci. & Eng., Nebraska Univ., Lincoln, NE, USA

Volume

3

fYear

1994

fDate

2-5 Oct 1994

Firstpage

2396

Abstract

We introduce a generalized theory of discriminant functions as a mathematical framework for the development of engineered receptive fields. These functions replicate mathematically some of the functional properties of the biological receptive fields, and are implemented into computer algorithms for the enhancement of transition information in signals and images. Two methods for the generation of discriminant functions are presented which can be successfully employed for the design of artificial receptive fields

Keywords

computer vision; feature extraction; image enhancement; mathematical morphology; physiological models; vision; biological visual system; discriminant functions; engineered receptive fields; feature extraction; image enhancement; machine vision; neuromorphology; visual receptive fields; Biology computing; Biosensors; Computer science; Data mining; Emulation; Image edge detection; Machine vision; Microelectronics; Noise robustness; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-2129-4

Type

conf

DOI

10.1109/ICSMC.1994.400225

Filename

400225