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Controlled Diagnosis-Oriented Enhancement of Automatically Segmented Radiographs in Dentistry
University of Gävle, Department of Mathematics, Natural and Computer Sciences, Ämnesavdelningen för datavetenskap.ORCID iD: 0000-0003-0085-5829
1998 (English)In: Computer Methods and Programs in Biomedicine, ISSN 0169-2607, E-ISSN 1872-7565, Vol. 57, no 1-2, p. 125-131Article in journal (Other academic) Published
Abstract [en]

A method for controlled diagnosis-oriented enhancement of selected regions of interest in intraoral radiographs is presented. Image enhancement is accomplished by adaptive non-linear grey scale transformation depending on the result of objective quality measurement. In order to assure reliable image duality measurement as well as controlled image enhancement, automatic image segmentation is applied to avoid the influence of disturbing factors (e.g. metallic restorations) on quality measurement and image enhancement. Based on existing a-priori knowledge about object structure and composition of the selected regions of interest in intraoral radiographs, different image segmentation algorithms and image enhancement procedures were developed for different types of diagnosis. (C) 1998 Elsevier Science Ireland Ltd. All rights reserved.

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1998. Vol. 57, no 1-2, p. 125-131
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URN: urn:nbn:se:hig:diva-1081DOI: 10.1016/S0169-2607(98)00052-2ISI: 000076335600019OAI: oai:DiVA.org:hig-1081DiVA, id: diva2:117743
Note
Conference: 5th Nordic Japan PACS Symposium Location: STOCKHOLM, SWEDEN Date: JUN 16-18, 1996Available from: 2008-06-19 Created: 2008-06-19 Last updated: 2018-03-13Bibliographically approved

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Seipel, Stefan

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