Image retrieval based-on FCA

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	Image retrieval based-on FCA
	Yang, Jia; Zhang, Yuanping; Tang, Mingzhu; Zhu, Xiaoli
刊名	Journal of Computational Information Systems
	2008-04-01
卷号	4 期号:2 页码:467-474
关键词	Database systems Feature extraction Formal methods Membership functions Pattern matching Query processing Formal concept analysis Similarity measure
ISSN号	15539105
英文摘要	This paper proposes a novel image retrieval method based-on Formal Concept Analysis which makes a faster retrieval in image database. First extract a set of candidate classes for the query using the membership function of fuzzy mathematic. Based-on FCA, each query is represented by an individual concept lattice. Through concept match to decide how similar the nodes in a query concept lattice are to the nodes in an image concept lattice of candidate classes. Output the images ordered by the similarity degree. The time needed for returning retrieval results and effectiveness of our method is demonstrated with experimental results on image collections.
语种	英语
出版者	Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/111864]
专题	兰州理工大学
作者单位	School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
推荐引用方式 GB/T 7714	Yang, Jia,Zhang, Yuanping,Tang, Mingzhu,et al. Image retrieval based-on FCA[J]. Journal of Computational Information Systems,2008,4(2):467-474.
APA	Yang, Jia,Zhang, Yuanping,Tang, Mingzhu,&Zhu, Xiaoli.(2008).Image retrieval based-on FCA.Journal of Computational Information Systems,4(2),467-474.
MLA	Yang, Jia,et al."Image retrieval based-on FCA".Journal of Computational Information Systems 4.2(2008):467-474.