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Controlled Diagnosis-Oriented Enhancement of Automatically Segmented Radiographs in Dentistry
CMD Center for Human - Computer Studies , Uppsala University, Uppsala, Sweden.
CMD Center for Human - Computer Studies , Uppsala University, Uppsala, Sweden.
CMD Center for Human - Computer Studies , Uppsala University, Uppsala, Sweden.ORCID-id: 0000-0003-0085-5829
CMD Center for Human - Computer Studies , Uppsala University, Uppsala, Sweden.
1998 (engelsk)Inngår i: Computer Methods and Programs in Biomedicine, ISSN 0169-2607, E-ISSN 1872-7565, Vol. 57, nr 1-2, s. 125-131Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
1998. Vol. 57, nr 1-2, s. 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
Merknad

Conference: 5th Nordic Japan PACS Symposium Location: STOCKHOLM, SWEDEN Date: JUN 16-18, 1996

Tilgjengelig fra: 2008-06-19 Laget: 2008-06-19 Sist oppdatert: 2019-02-20bibliografisk kontrollert

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