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

A fuzzy logic based approach to feedback reinforcement in image retrieval / DI LECCE, Vincenzo; Amato, A.. - 5754:(2009), pp. 939-947. (Intervento presentato al convegno 5th International Conference on Intelligent Computing, ICIC 2009 tenutosi a Ulsan, South Korea nel September 16-19, 2009) [10.1007/978-3-642-04070-2_99].

A fuzzy logic based approach to feedback reinforcement in image retrieval

DI LECCE, Vincenzo;
2009-01-01

Abstract

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
2009
5th International Conference on Intelligent Computing, ICIC 2009
978-364204069-6
A fuzzy logic based approach to feedback reinforcement in image retrieval / DI LECCE, Vincenzo; Amato, A.. - 5754:(2009), pp. 939-947. (Intervento presentato al convegno 5th International Conference on Intelligent Computing, ICIC 2009 tenutosi a Ulsan, South Korea nel September 16-19, 2009) [10.1007/978-3-642-04070-2_99].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/453
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