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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
A novel Virus Infection Clustering for Flower Images Identification
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Siu-Yeung Cho, Peh-Ti Lim, "A novel Virus Infection Clustering for Flower Images Identification," Pattern Recognition, International Conference on, vol. 2, pp. 1038-1041, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.144,
author = {Siu-Yeung Cho and Peh-Ti Lim},
title = {A novel Virus Infection Clustering for Flower Images Identification},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {1038-1041},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.144},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - A novel Virus Infection Clustering for Flower Images Identification
SN - 1051-4651
SP1038
EP1041
A1 - Siu-Yeung Cho,
A1 - Peh-Ti Lim,
PY - 2006
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Siu-Yeung Cho, Nanyang Technological University, Singapore
Peh-Ti Lim, Nanyang Technological University, Singapore
Computer-aided flower identification is a very useful tool for plant species identification aspect. In this paper, a study was made on a development of content based image retrieval system to characterize flower images efficiently. In this system, a novel Virus Infection Clustering is proposed to cluster the image database to improve the searching efficiency. Experimental results show that the developed system can yield promising results for flower image retrieval.
Citation:
Siu-Yeung Cho, Peh-Ti Lim, "A novel Virus Infection Clustering for Flower Images Identification," icpr, vol. 2, pp.1038-1041, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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