Design and performance evaluation of parallel architectures for image segmentation processing

Persistent Link:
http://hdl.handle.net/10150/277042
Title:
Design and performance evaluation of parallel architectures for image segmentation processing
Author:
Surma, David Ray, 1963-
Issue Date:
1989
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The design of parallel architectures to perform image segmentation processing is given. In addition, the various designs are evaluated as to their performance, and a discussion of an optimal design is given. In this thesis, a set of eight segmentation algorithms has been provided as a starting point. Four of these algorithms will be evaluated and partitioned using two techniques. From this study of partitioning and considering the data flow through the total system, architectures utilizing parallel techniques will be derived. Timing analysis using pen and paper techniques will be given on the architectures using three of today's current technologies. Next, NETWORK II.5 simulations will be run to provide performance measures. Finally, evaluations of the various architectures will be made as well as the applicability of using NETWORK II.5 as a simulation language.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Image processing -- Digital techniques.; Parallel processing (Electronic computers); Computer architecture -- Analysis.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Electrical and Computer Engineering
Degree Grantor:
University of Arizona
Advisor:
Martinez, Ralph

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleDesign and performance evaluation of parallel architectures for image segmentation processingen_US
dc.creatorSurma, David Ray, 1963-en_US
dc.contributor.authorSurma, David Ray, 1963-en_US
dc.date.issued1989en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe design of parallel architectures to perform image segmentation processing is given. In addition, the various designs are evaluated as to their performance, and a discussion of an optimal design is given. In this thesis, a set of eight segmentation algorithms has been provided as a starting point. Four of these algorithms will be evaluated and partitioned using two techniques. From this study of partitioning and considering the data flow through the total system, architectures utilizing parallel techniques will be derived. Timing analysis using pen and paper techniques will be given on the architectures using three of today's current technologies. Next, NETWORK II.5 simulations will be run to provide performance measures. Finally, evaluations of the various architectures will be made as well as the applicability of using NETWORK II.5 as a simulation language.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectImage processing -- Digital techniques.en_US
dc.subjectParallel processing (Electronic computers)en_US
dc.subjectComputer architecture -- Analysis.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorMartinez, Ralphen_US
dc.identifier.proquest1337437en_US
dc.identifier.oclc22871295en_US
dc.identifier.bibrecord.b17516547en_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.