Doctoral Dissertations

Title

Biologically inspired identification and classification of a system's environment through artificial vision

Abstract

"The human vision system is a very sophisticated image processing mechanism. It has the ability to instantly process the image of objects and identify them, or classify a new item into a new category. Unlike most sensors, a camera is a passive system, yet the wealth of information that can be attained from a visual sensor is enormous. However, the amount of data processing that occurs with visual systems is also large. To try and overcome this problem, a philosophy is adopted of examining how natural systems perform the task, and then model the natural system. This dissertation divides the problem into four tasks"--Abstract, leaf iii.

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering

Publisher

University of Missouri--Rolla

Publication Date

Summer 2004

Pagination

xiii, 123 leaves

Note about bibliography

Includes bibliographical references (leaves 114-122).

Rights

© 2004 Robert Stephen Woodley, All rights reserved.

Document Type

Dissertation - Citation

File Type

text

Language

English

Library of Congress Subject Headings

Artificial vision
Image processing -- Digital techniques

Thesis Number

T 8552

Print OCLC #

62205120

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

http://laurel.lso.missouri.edu/record=b5381608~S5

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