Textural Features and Relevance Feedback for Image Retrieval

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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

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Database | Markovian Random Fields | Relevance Feedback | Texture Discrimination | VDB 1998 |

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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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Textural Features and Relevance Feedback for Image Retrieval

Database | Markovian Random Fields | Relevance Feedback | Texture Discrimination | VDB 1998 |

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