Automatic Enhancement and Subjective Evaluation of Dental X-ray Images Using the SMQT

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Mikael Nilsson, Farook Sattar, Hui Kheng Chngt, Ingvar Claesson
Title: Automatic Enhancement and Subjective Evaluation of Dental X-ray Images Using the SMQT
Conference name: Fifth International Conference on Information, Communications and Signal Processing
Year: 2005
Pagination: 1448-1451
Publisher: IEEE
City: Bangkok, Thailand
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Signal Processing (Sektionen för teknik – avd. för signalbehandling)
School of Engineering S- 372 25 Ronneby
+46 455 38 50 00
http://www.tek.bth.se/
Language: English
Abstract: 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.
Subject: Signal Processing\General
Signal Processing\Detection and Classification
Keywords: X ray analysis, computer aided diagnosis, dentistry, medical imaging
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