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1998

Textural Features and Relevance Feedback for Image Retrieval

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Textural Features and Relevance Feedback for Image Retrieval
This paper focuses on the retrieval of complex images based on their textural content. We use GMRF for texture discrimination and a region-growing algorithm for texture segmentation. Relevance feedback is introduced to improve retrieval accuracy. Keywords Textures, relevance feedback, image features, Gaussian Markovian Random Fields.
Eugenio Di Sciascio, Giacomo Piscitelli, Augusto C
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1998
Where VDB
Authors Eugenio Di Sciascio, Giacomo Piscitelli, Augusto Celentano
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