"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.
Kern, Frank J.
Tranter, William H.
Ho, C. Y. (Chung You), 1933-1988
Cunningham, David R.
Electrical and Computer Engineering
Ph. D. in Electrical Engineering
University of Missouri--Rolla
xi, 134 pages
© 1973 Darroll Steven McCormack, All rights reserved.
Dissertation - Restricted Access
Library of Congress Subject Headings
Image processing -- Digital techniques
Pattern recognition systems
Optical pattern recognition
Print OCLC #
Electronic OCLC #
Link to Catalog RecordElectronic 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. http://laurel.lso.missouri.edu/record=b1066840~S5
McCormack, Darroll Steven, "Detection and recognition of geometric shapes in a two-dimensional image" (1973). Doctoral Dissertations. 233.