Phung D. Le

Date of Award

12-1990

Document Type

Thesis

Degree Name

Master of Science in Electrical Engineering

Department

Department of Electrical and Computer Engineering

First Advisor

Steven K. Rogers, PhD

Second Advisor

Matthew Kabrisky, PhD

Abstract

A different approach to pattern recognition was attempted using Gabor features, artificial neural nets, and an image generator. The Gabor features and artificial neural nets are sound biological-based, and the image generator provides complete access to any view of an object. This thesis tested the idea that their integration could form a robust 3-D recognition system. The results of the research showed that the Gabor features together with a neural net were used successfully in classifying objects regardless of their positions, out-of- plane rotations, and to a lesser extent in-plane rotations. The Gabor features were obtained by correlating the image with Gabor filters of varying orientations spaced 15 degrees apart as found in primates' visual systems, and the correlation with each filter was kept separately.

AFIT Designator

AFIT-GEO-ENG-90D-05

DTIC Accession Number

ADA230387

Comments

The author's Vita page is omitted

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