Persistent Link:
http://hdl.handle.net/10150/276821
Title:
An expert system for low-level image processing
Author:
Wang, Han-lung, 1960-
Issue Date:
1988
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 problem approached in this thesis is how to help the novice do image processing with a rule-based system. An interactive expert system prototype, which includes the image processing functions of SADIE, has been created. A software interface between the image processing environment, SADIE, and the expert system tool, CLIPS, has been coded in standard C. Knowledge about low-level image processing (contrast enhancement and noise suppression) has been successfully implemented in the CLIPS program. The experimental results have shown that this system is efficient and friendly. Although this system was developed on a VAX under VMS, it is easily modified for most machines because it includes the portability of CLIPS. With only a minimal amount of work, we also can incorporate the system with the new SADIE C version, which has been developed in another project.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Expert systems (Computer science); Image processing.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Electrical and Computer Engineering
Degree Grantor:
University of Arizona
Advisor:
Schowengerdt, Robert A.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleAn expert system for low-level image processingen_US
dc.creatorWang, Han-lung, 1960-en_US
dc.contributor.authorWang, Han-lung, 1960-en_US
dc.date.issued1988en_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 problem approached in this thesis is how to help the novice do image processing with a rule-based system. An interactive expert system prototype, which includes the image processing functions of SADIE, has been created. A software interface between the image processing environment, SADIE, and the expert system tool, CLIPS, has been coded in standard C. Knowledge about low-level image processing (contrast enhancement and noise suppression) has been successfully implemented in the CLIPS program. The experimental results have shown that this system is efficient and friendly. Although this system was developed on a VAX under VMS, it is easily modified for most machines because it includes the portability of CLIPS. With only a minimal amount of work, we also can incorporate the system with the new SADIE C version, which has been developed in another project.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectExpert systems (Computer science)en_US
dc.subjectImage processing.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.advisorSchowengerdt, Robert A.en_US
dc.identifier.proquest1335068en_US
dc.identifier.oclc21555329en_US
dc.identifier.bibrecord.b17273560en_US
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