Dynamic angle selection in binary tomography
Identifieur interne : 001722 ( Main/Exploration ); précédent : 001721; suivant : 001723Dynamic angle selection in binary tomography
Auteurs : K. Joost Batenburg [Pays-Bas, Belgique] ; Willem Jan Palenstijn [Belgique] ; Peter Balazs [Hongrie] ; Jan Sijbers [Belgique]Source :
- Computer vision and image understanding : (Print) [ 1077-3142 ] ; 2013.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Normalisation.
English descriptors
- KwdEn :
Abstract
In this paper, we present an algorithm for the dynamic selection of projection angles in binary tomography. Based on the information present in projections that have already been measured, a new projection angle is computed, which aims to maximize the information gained by adding this projection to the set of measurements. The optimization model used for angle selection is based on a characterization of solutions of the binary reconstruction problem, and a related definition of information gain. From this formal model, an algorithm is obtained by several approximation steps. Results from a series of simulation experiments demonstrate that the proposed angle selection scheme is indeed capable of finding angles for which the reconstructed image is much more accurate than for the standard angle selection scheme.
Affiliations:
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Le document en format XML
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Joost Batenburg</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Centrum Wiskunde & Informatica, Science Park 123</s1><s2>1098 XG Amsterdam</s2><s3>NLD</s3><sZ>1 aut.</sZ></inist:fA14><country>Pays-Bas</country><wicri:noRegion>1098 XG Amsterdam</wicri:noRegion></affiliation><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>Vision Lab, University of Antwerp, Universiteitsplein 1</s1><s2>2610 Wilrijk</s2><s3>BEL</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Belgique</country><wicri:noRegion>2610 Wilrijk</wicri:noRegion><orgName type="university">Université d'Anvers</orgName><placeName><settlement type="city">Anvers</settlement><region>Région flamande</region><region type="district" nuts="2">Province d'Anvers</region></placeName></affiliation></author><author><name sortKey="Palenstijn, Willem Jan" sort="Palenstijn, Willem Jan" uniqKey="Palenstijn W" first="Willem Jan" last="Palenstijn">Willem Jan Palenstijn</name><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>Vision Lab, University of Antwerp, Universiteitsplein 1</s1><s2>2610 Wilrijk</s2><s3>BEL</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Belgique</country><wicri:noRegion>2610 Wilrijk</wicri:noRegion><orgName type="university">Université d'Anvers</orgName><placeName><settlement type="city">Anvers</settlement><region>Région flamande</region><region type="district" nuts="2">Province d'Anvers</region></placeName></affiliation></author><author><name sortKey="Balazs, Peter" sort="Balazs, Peter" uniqKey="Balazs P" first="Peter" last="Balazs">Peter Balazs</name><affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Department of Image Processing and Computer Graphics, University of Szeged, Árpád tér 2</s1><s2>6720 Szeged</s2><s3>HUN</s3><sZ>3 aut.</sZ></inist:fA14><country>Hongrie</country><wicri:noRegion>6720 Szeged</wicri:noRegion></affiliation></author><author><name sortKey="Sijbers, Jan" sort="Sijbers, Jan" uniqKey="Sijbers J" first="Jan" last="Sijbers">Jan Sijbers</name><affiliation wicri:level="4"><inist:fA14 i1="02"><s1>Vision Lab, University of Antwerp, Universiteitsplein 1</s1><s2>2610 Wilrijk</s2><s3>BEL</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Belgique</country><wicri:noRegion>2610 Wilrijk</wicri:noRegion><orgName type="university">Université d'Anvers</orgName><placeName><settlement type="city">Anvers</settlement><region>Région flamande</region><region type="district" nuts="2">Province d'Anvers</region></placeName></affiliation></author></analytic><series><title level="j" type="main">Computer vision and image understanding : (Print)</title><title level="j" type="abbreviated">Comput. vis. image underst. : (Print)</title><idno type="ISSN">1077-3142</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Computer vision and image understanding : (Print)</title><title level="j" type="abbreviated">Comput. vis. image underst. : (Print)</title><idno type="ISSN">1077-3142</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Computer vision</term><term>Discrete geometry</term><term>Formal specification</term><term>Image reconstruction</term><term>Integer lattice</term><term>Model matching</term><term>Model selection</term><term>Optimization</term><term>Set computation</term><term>Standardization</term><term>Tomography</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Vision ordinateur</term><term>Tomographie</term><term>Spécification formelle</term><term>Reconstruction image</term><term>Normalisation</term><term>Géométrie discrète</term><term>Réseau arithmétique</term><term>Calcul ensembliste</term><term>Optimisation</term><term>Sélection modèle</term><term>Ajustement modèle</term><term>.</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Normalisation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper, we present an algorithm for the dynamic selection of projection angles in binary tomography. Based on the information present in projections that have already been measured, a new projection angle is computed, which aims to maximize the information gained by adding this projection to the set of measurements. The optimization model used for angle selection is based on a characterization of solutions of the binary reconstruction problem, and a related definition of information gain. From this formal model, an algorithm is obtained by several approximation steps. Results from a series of simulation experiments demonstrate that the proposed angle selection scheme is indeed capable of finding angles for which the reconstructed image is much more accurate than for the standard angle selection scheme.</div></front></TEI><affiliations><list><country><li>Belgique</li><li>Hongrie</li><li>Pays-Bas</li></country><region><li>Province d'Anvers</li><li>Région flamande</li></region><settlement><li>Anvers</li></settlement><orgName><li>Université d'Anvers</li></orgName></list><tree><country name="Pays-Bas"><noRegion><name sortKey="Batenburg, K Joost" sort="Batenburg, K Joost" uniqKey="Batenburg K" first="K. Joost" last="Batenburg">K. Joost Batenburg</name></noRegion></country><country name="Belgique"><region name="Région flamande"><name sortKey="Batenburg, K Joost" sort="Batenburg, K Joost" uniqKey="Batenburg K" first="K. Joost" last="Batenburg">K. Joost Batenburg</name></region><name sortKey="Palenstijn, Willem Jan" sort="Palenstijn, Willem Jan" uniqKey="Palenstijn W" first="Willem Jan" last="Palenstijn">Willem Jan Palenstijn</name><name sortKey="Sijbers, Jan" sort="Sijbers, Jan" uniqKey="Sijbers J" first="Jan" last="Sijbers">Jan Sijbers</name></country><country name="Hongrie"><noRegion><name sortKey="Balazs, Peter" sort="Balazs, Peter" uniqKey="Balazs P" first="Peter" last="Balazs">Peter Balazs</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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