Fuzzy Content-Based Retrieval in Image Databases
Publication Type
Journal Article
Publication Date
1998
Abstract
Image data are inherently visual. The description of visual characteristics of images are imprecise. Fuzzy retrieval of images stored in a feature-based image database is a natural means to access the data. Unfortunately, to the authors knowledge, little work has been done on fuzzy image database models and fuzzy retrieval of feature-based image databases. In this paper, a fuzzy image database model and a concept of fuzzy space are proposed and fuzzy query processing in fuzzy space and fuzzy indexing on complex fuzzy vectors are described. An example image database, the computer-aided facial image inference and retrieval system (CAFIIR), is used for explanation throughout the paper.
Discipline
Computer Sciences | Numerical Analysis and Scientific Computing
Research Areas
Information Systems and Management
Publication
Information Processing and Management
Volume
34
Issue
5
First Page
513
Last Page
534
ISSN
0306-4573
Identifier
10.1016/s0306-4573(98)00017-x
Publisher
Elsevier
Citation
JIAN, Kang Wu and NARASIMHALU, Arcot Desai.
Fuzzy Content-Based Retrieval in Image Databases. (1998). Information Processing and Management. 34, (5), 513-534.
Available at: https://ink.library.smu.edu.sg/sis_research/61
Additional URL
http://dx.doi.org/10.1016/s0306-4573(98)00017-x