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The Minimum Barrier Distance - Stability to seed point position
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
University of Iowa.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
2014 (English)In: Discrete Geometry for Computer Imagery, DGCI 2014 / [ed] Elena Barcucci, Andrea Frosini, Simone Rinaldi, 2014, 111-121 p.Conference paper, Published paper (Refereed)
Abstract [en]

Distance and path-cost functions have been used for image segmentation at various forms, e.g., region growing or live-wire boundary tracing using interactive user input. Different approaches are associated with different fundamental advantages as well as difficulties. In this paper, we investigate the stability of segmentation with respect to perturbations in seed point position for a recently introduced pseudo-distance method referred to as the minimum barrier distance. Conditions are sought for which segmentation results are invariant with respect to the position of seed points and a proof of their correctness is presented. A notion of δ-interface is introduced defining the object-background interface at various gradations and its relation to stability of segmentation is examined. Finally, experimental results are presented examining different aspects of stability of segmentation results to seed point position.

Place, publisher, year, edition, pages
2014. 111-121 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8668
National Category
Discrete Mathematics
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-238060DOI: 10.1007/978-3-319-09955-2_10ISI: 000358195100010ISBN: 978-3-319-09954-5 (print)ISBN: 978-3-319-09955-2 (print)OAI: oai:DiVA.org:uu-238060DiVA: diva2:769978
Conference
18th IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI 2014), SEP 10-12, 2014, Siena, Italy
Available from: 2014-12-09 Created: 2014-12-09 Last updated: 2015-08-31Bibliographically approved

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Strand, RobinMalmberg, FilipLinnér, Elisabeth

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