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

Author

Robert S. Woodley, Missouri University of Science and TechnologyFollow

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, page 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 pages

Note about bibliography

Includes bibliographical references (pages 114-122).

Rights

© 2004 Robert Stephen Woodley, All rights reserved.

Document Type

Dissertation - Citation

File Type

text

Language

English

Subject Headings

Artificial visionImage processing -- Digital techniques

Thesis Number

T 8552

Print OCLC #

62205120

Recommended Citation

Woodley, Robert S., "Biologically inspired identification and classification of a system's environment through artificial vision" (2004). Doctoral Dissertations. 1587.
https://scholarsmine.mst.edu/doctoral_dissertations/1587