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 mo...

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Bibliographic Details
Main Authors: JIAN, Kang Wu, NARASIMHALU, Arcot Desai
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1998
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Online Access:https://ink.library.smu.edu.sg/sis_research/61
http://dx.doi.org/10.1016/s0306-4573(98)00017-x
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Institution: Singapore Management University
Language: English
Description
Summary: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.