Title :
A novel Virus Infection Clustering for Flower Images Identification
Author :
Cho, Siu-Yeung ; Lim, Peh-Ti
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
Abstract :
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
Keywords :
botany; content-based retrieval; image recognition; image retrieval; visual databases; computer-aided flower identification; content based image retrieval system; flower images identification; image database; plant species identification; virus infection clustering; Content based retrieval; Feature extraction; Feedback; Humans; Image databases; Image recognition; Image retrieval; Image segmentation; Pattern recognition; Shape;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.144
