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2 Faculties
2.05 Vincent Mary School of Science and Technology
Theses
Content-based image retrieval system with combining color features and texture feature
Content-based image retrieval system with combining color features and texture feature
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AU-Thesis-Fulltext-222405.pdf
(24.74 MB)
Files (Excerpt)
AU-Thesis-Abstract-222405.pdf
(155.52 KB)
Publisher
Bangkok : Assumption University
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Issued Date
2014
Copyright Date
Genre
Thesis
Series
Edition
1st ed.
Language
eng
File Type
application/pdf
No. of Pages/File Size
ix, 90 p. : ill. ; 30 cm.
ISBN
ISSN
eISSN
DOI
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Access Rights
Access Status
Call number
Thesis F144c 2014
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Copyright date
Physical location
Citation
Title
Content-based image retrieval system with combining color features and texture feature
Other title(s)
Author(s)
Fadael, Hamed
Editor(s)
Advisor(s)
Thotsapon Sortrakul
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Other Contributor(s)
Abstract
Table of contents
Description
Thesis (M.S.)--Assumption University, 2014.
Includes bibliography.
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Sponsorship
Spatial coverage
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Degree Name
Master of Science
Degree Level
Masters
Degree Department
School of Science and Technology
Degree Discipline
Degree Grantor(s)
Assumption University
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Subject(s)
Keyword(s)
Rights
This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
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Physical Location
AU Archives, 4th Floor (Cathedral of Learning)
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URI
https://repository.au.edu/handle/6623004553/2811
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