Fuzzy Content-Based Retrieval in Image Databases
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.
Computer Sciences | Numerical Analysis and Scientific Computing
Information Systems and Management
Information Processing and Management
JIAN, Kang Wu and NARASIMHALU, Arcot Desai.
Fuzzy Content-Based Retrieval in Image Databases. (1998). Information Processing and Management. 34, (5), 513-534. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/61