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Image analysis based categorization of laryngeal diseases
Kaunas University of Technology.
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).ORCID iD: 0000-0003-2185-8973
Kaunas University of Technology.
Kaunas University of Technology.
2006 (English)In: Proceedings of the 1st International Conference on Electrical and Control Technologies, 2006, 2006, 300-305 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper concentrates on an automated analysis of laryngeal images aiming to categorize the images into three decision classes, namely healthy, nodular and diffuse. The problem is treated as an amage analysis and classification task. To obtain a comprehensive description of laryngeal images, multiple feature sets exploiting information on image colour, texture, geometry, image intensity gradient direction, and frequency content are extracted. A separate support vector machine (SVM) is used to categorize features of each type into decision classes. The final image categorization is then obtained which is based on the decisions provided by a committee of support vector machines. Bearing in mind a high similarity of the decision classes, the correct classification rate of over 94 % is obtained while testing the system on 785 laryngeal images that are recorded by the Department of Otolaryngology, Kaunas University of Medicine is rather promising.

Place, publisher, year, edition, pages
2006. 300-305 p.
Keyword [en]
Laryngeal image, Texture, Cooccurrence matrix, Support vector machine, Fourier transform
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-20138ISI: 000244481800060OAI: oai:DiVA.org:hh-20138DiVA: diva2:577047
Conference
1st International Conference on Electrical and Control Technologies, 2006, MAY 04-05, 2006 Kaunas, LITHUANIA, 2006
Available from: 2012-12-14 Created: 2012-12-14 Last updated: 2014-11-10Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf