Detection and recognition of geometric shapes in a two-dimensional image

Author

Darroll Steven McCormack

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 techniques
Pattern recognition systems
Optical pattern recognition

Thesis Number

T 2809

Print OCLC #

6024867

Electronic OCLC #

913831737

Link to Catalog Record

Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.

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