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Quantifying visual perception of texture with fuzzy metric entropy
Linköping University, Department of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-4255-5130
2016 (English)In: Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, E-ISSN 1875-8967, Vol. 31, no 2, 1089-1097 p.Article in journal (Refereed) Published
Abstract [en]

The quantitative categorization of textures according to their visual appearances is an important area of research in computer vision and image understanding, because texture analysis and its applications are found useful in many areas of health, medicine, sciences, and engineering. For the first time, the theory of chaos and fuzzy sets are applied in this paper to measure the spatial dynamics of the texture spectrum. Experiments carried out on the well-known Brodatz texture database suggest the promising application of the method proposed for texture quantification.

Place, publisher, year, edition, pages
IOS Press, 2016. Vol. 31, no 2, 1089-1097 p.
Keyword [en]
Texture categorization, spatial dynamics, metric entropy, fuzzy sets
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-130223DOI: 10.3233/JIFS-169038ISI: 000381842400038OAI: oai:DiVA.org:liu-130223DiVA: diva2:949183
Available from: 2016-07-18 Created: 2016-07-18 Last updated: 2016-09-25Bibliographically approved

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Pham, Tuan
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Department of Biomedical EngineeringFaculty of Science & Engineering
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ReferencesLink to record
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