Doctoral Dissertations
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, 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 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://merlin.lib.umsystem.edu/record=b5381608~S5Recommended 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
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