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Automatic Enhancement and Subjective Evaluation of Dental X-ray Images Using the SMQT
Responsible organisation
2005 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

This paper investigates the Successive Mean Quantization Transform (SMQT) for enhancement of dental X-ray images. The aim is to provide an automatic tool for enhancing the dental X-rays that would aid an interpreter, who is typically a specialist in dentistry. The evaluation is performed based on a subjective test by a clinical expert/endodontist who has vast experience in dental X-ray analysis and diagnosis. Based on the subjective test for a number of dental images, this SMQT based enhancement method is found to provide a useful tool for enhancing the diagnostic value of dental X-ray images. © 2005 IEEE.

Place, publisher, year, edition, pages
Bangkok, Thailand: IEEE , 2005.
Keywords [en]
X ray analysis, computer aided diagnosis, dentistry, medical imaging
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-8366Local ID: oai:bth.se:forskinfo69674D6FFAA9940FC12574FF0052AB2BOAI: oai:DiVA.org:bth-8366DiVA, id: diva2:836076
Conference
Fifth International Conference on Information, Communications and Signal Processing
Available from: 2012-09-18 Created: 2008-11-12 Last updated: 2015-06-30Bibliographically approved

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Nilsson, MikaelClaesson, Ingvar

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