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Erschienen in:
2009 | OriginalPaper | Buchkapitel
A Fuzzy Logic Based Approach to Feedback Reinforcement in Image Retrieval
verfasst von : Vincenzo Di Lecce, Alberto Amato
Erschienen in: Emerging Intelligent Computing Technology and Applications
Verlag: Springer Berlin Heidelberg
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Nowadays, due to the spread of digital imaging technologies, the design of effective content based image retrieval (CBIR) systems is perceived by the research community as a primary problem. Various techniques such as clustering and relevance feedback were proposed to obtain a certain level of knowledge about a given image database. Often clustering techniques were used to obtain a first level characterization of the image database used to speed up the successive stage of queries. In this work the authors use the knowledge obtained using a fuzzy clustering algorithm to reinforce the user feedback. The system was tested on the Columbia Coil-20 image database and the obtained results seem to be encouraging.