TY - GEN
T1 - A novel virus infection clustering for flower images identification
AU - Cho, Siu Yeung
AU - Lim, Peh Ti
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=34047239251&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2006.144
DO - 10.1109/ICPR.2006.144
M3 - Conference contribution
AN - SCOPUS:34047239251
SN - 0769525210
SN - 9780769525211
T3 - Proceedings - International Conference on Pattern Recognition
SP - 1038
EP - 1041
BT - Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
T2 - 18th International Conference on Pattern Recognition, ICPR 2006
Y2 - 20 August 2006 through 24 August 2006
ER -