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Image texture analysis using geostatistical information entropy
Aizu Research Cluster for Medical Engineering and Informatics Research Center for Advanced Information Science and Technology.ORCID iD: 0000-0002-4255-5130
2012 (English)In: Intelligent Systems (IS), 2012 6th IEEE International Conference, 2012, 353-356 p.Conference paper (Refereed)Text
Abstract [en]

Extraction of effective features of objects is an important area of research in the intelligent processing of image data. A well-known feature in images is texture which can be used for image description, segmentation and classification. This paper presents a novel texture extraction method using the principles of geostatistics and the concept of entropy in information theory. Experimental results on medical image data have shown the superior performance of the proposed approach over some popular texture extraction methods.

Place, publisher, year, edition, pages
2012. 353-356 p.
Series
, 2012 6th IEEE International Conference Intelligent Systems, ISSN 1541-1672
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-127960DOI: 10.1109/IS.2012.6335160ISBN: 978-1-4673-2276-8OAI: oai:DiVA.org:liu-127960DiVA: diva2:928493
Conference
Intelligent Systems (IS), 2012 6th IEEE International Conference. 6-8 September 2012, Sofia
Available from: 2016-05-16 Created: 2016-05-13 Last updated: 2016-05-23

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Pham, Tuan D
Computer Vision and Robotics (Autonomous Systems)

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ReferencesLink to record
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