Feature selection for content-based image retrieval using statistical discriminant analysis
As we known, the very large repository of digital media arise the challenge of various digital search applications. In order to make use of this huge amount of data, effective tools are required for retrieve multimedia information. An image retrieval system is one of the tools that can be used for s...
Saved in:
Main Author: | Tee, Cheng Siew |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2008
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/9466/1/TeeChengSiewFSKSM2008.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Online signature verification based on dynamic feature discriminators
by: Omar, Nazaruddin
Published: (2009) -
Shape feature representation in similarity measurement for content-based image retrieval
by: Chiew, Kang Leng
Published: (2003) -
Image retrieval based on similarity score fusion
by: Mohd. Ali, Iliana
Published: (2007) -
Image retrieval based on user feedback with support vector machine
by: Voon, Buang Hong
Published: (2016) -
Spiral bit-map signature for content-based images retrieval
by: Wang, Hui Hui
Published: (2003)