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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
Files
AU-Thesis-Fulltext-222405.pdf
(24.74 MB)
Files (Excerpt)
AU-Thesis-Abstract-222405.pdf
(155.52 KB)
Publisher
Bangkok : Assumption University
Issued Date
2014
Genre
Thesis
Edition
1st ed.
Language
eng
File Type
application/pdf
No. of Pages/File Size
ix, 90 p. : ill. ; 30 cm.
Call number
Thesis F144c 2014
Title
Content-based image retrieval system with combining color features and texture feature
Author(s)
Fadael, Hamed
Advisor(s)
Thotsapon Sortrakul
Description
Thesis (M.S.)--Assumption University, 2014.
Includes bibliography.
Degree Name
Master of Science
Degree Level
Masters
Degree Department
School of Science and Technology
Degree Grantor(s)
Assumption University
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.
Physical Location
AU Archives, 4th Floor (Cathedral of Learning)
URI
https://repository.au.edu/handle/6623004553/2811
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Theses
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