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Measures of spatial distortion using kriging
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-4255-5130
2016 (English)In: IEEE 8th International Conference on Intelligent Systems (IS), 2016 / [ed] Ronald Yager, Vassil Sgurev, Mincho Hadjiski, Vladimir Jotsov, Institute of Electrical and Electronics Engineers (IEEE), 2016, 438-442 p.Conference paper, Published paper (Refereed)
Abstract [en]

Texture images of limited size can be insufficient for statistical learning to perform the task of image retrieval. This paper proposes a hypothesis that the utilization of synthesized texture and noise addition can improve texture analysis with spatial statistics. Rationales for this hypothesis are that texture synthesis allows the enlargement of an image size for better description of its spatial statistics, and noise added to texture pixels at some levels enhances discriminative power of texture randomness. The improvements using synthesized images of coarse-aperiodic and fine-periodic texture categories with added noise for feature extraction with the semi-variogram and feature-vector matching using the log-likelihood ratio suggest the validation of the proposed hypothesis that is promising for handling classification of texture of small sample sizes.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 438-442 p.
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-133870DOI: 10.1109/IS.2016.7737457ISI: 000391554300061ISBN: 9781509013548 (electronic)ISBN: 9781509013531 (electronic)ISBN: 9781509013555 (print)OAI: oai:DiVA.org:liu-133870DiVA: diva2:1064786
Conference
IEEE 8th International Conference on Intelligent Systems (IS), Sofia, Bulgaria, September 4-6,2016
Available from: 2017-01-13 Created: 2017-01-13 Last updated: 2017-02-15Bibliographically approved

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Pham, Tuan
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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  • Other style
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Language
  • de-DE
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  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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