Doctoral Dissertations
Abstract
"The human visual system can be adjusted depending upon various self decision factors with certain features emphasized. This concept is implemented into an automatic pattern recognition scheme for geometric shapes within a two-dimensional image. These objectives are obtained by employing multilevel, parallel processed image transformations. The image concept has been restricted to a sampled and digitized two-dimensional image and the detection and recognition of a set of proposed standard geometric test shapes. The two-dimensional sampling arrays under consideration are the rhombic, square and staggered square sampling lattices with each sampling lattice having a specific area sample shape"--Abstract, page ii.
Advisor(s)
Kern, Frank J.
Committee Member(s)
Engelhardt, Max
Tranter, William H.
Ho, C. Y. (Chung You), 1933-1988
Cunningham, David R.
Department(s)
Electrical and Computer Engineering
Degree Name
Ph. D. in Electrical Engineering
Publisher
University of Missouri--Rolla
Publication Date
1973
Pagination
xi, 134 pages
Note about bibliography
Includes bibliographical references (pages 101-104).
Rights
© 1973 Darroll Steven McCormack, All rights reserved.
Document Type
Dissertation - Restricted Access
File Type
text
Language
English
Subject Headings
Image processing -- Digital techniquesPattern recognition systemsOptical pattern recognition
Thesis Number
T 2809
Print OCLC #
6024867
Electronic OCLC #
913831737
Recommended Citation
McCormack, Darroll Steven, "Detection and recognition of geometric shapes in a two-dimensional image" (1973). Doctoral Dissertations. 233.
https://scholarsmine.mst.edu/doctoral_dissertations/233
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