{"title":"Automatic Enhancement and Subjective Evaluation of Dental X-ray Images using the SMQT","authors":"M. Nilsson, F. Sattar, H. K. Chng, I. Claesson","doi":"10.1109/ICICS.2005.1689298","DOIUrl":null,"url":null,"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 that 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","PeriodicalId":425178,"journal":{"name":"2005 5th International Conference on Information Communications & Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 5th International Conference on Information Communications & Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICS.2005.1689298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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 that 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
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