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Mutual Information Based Measure for Image Content Characterization

Faur, Daniela and Gavat, Inge and Datcu, Mihai (2006) Mutual Information Based Measure for Image Content Characterization. In: Current Topics in Artificial Intelligence Lecture Notes in Computer Science, 4177. Springer-Verlag. pp. 342-349. ISBN 978-3-540-45914-9. ISSN 0302-9743 (Print) 1611-3349 (Online)

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Official URL: http://www.springerlink.com/content/3lj8443412072561/?p=e56add16d175436c91cc52e878409960&pi=1

Abstract

In this paper, we use primitive feature extraction and clustering to code the image information content. Our purpose is to describe the complexity of the information based on the combinational profile of the clustered primitive features using entropic measures like mutual information and Kullback-Leibler divergence.

Document Type:Contribution to a Collection
Additional Information:doi: 10.1007/11881216_36
Title:Mutual Information Based Measure for Image Content Characterization
Authors:
AuthorsInstitution or Email of Authors
Faur, DanielaUniversity Politehnica of Bucharest
Gavat, IngeUniversity Politehnica of Bucharest
Datcu, MihaiUNSPECIFIED
Date:13 October 2006
Journal or Publication Title:Current Topics in Artificial Intelligence
Volume:4177
Page Range:pp. 342-349
Publisher:Springer-Verlag
Series Name:Lecture Notes in Computer Science
ISSN:0302-9743 (Print) 1611-3349 (Online)
ISBN:978-3-540-45914-9
Status:Published
Keywords:image processing, information content, mutual information, Kullback-Leibler divergence
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Bildwissenschaften (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Image Science
Deposited By: Gottfried Schwarz
Deposited On:17 Jun 2008
Last Modified:27 Apr 2009 15:00

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