Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Minimum Barrier Distance: A Summary of Recent Advances
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.ORCID iD: 0000-0001-7764-1787
Department of Mathematics, West Virginia University, Morgantown, USA and Department of Radiology, MIPG, University of Pennsylvania, Philadelphia, USA.
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.
Department of Electrical and Computer Engineering and Department of Radiology, University of Iowa, Iowa City, USA.
2017 (English)In: Lecture Notes in Computer Science book series (LNCS, volume 10502), Switzerland, 2017, Vol. 10502, p. 57-68Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we present an overview and summary of recent results of the minimum barrier distance (MBD), a distance operator that is a promising tool in several image processing applications. The theory constitutes of the continuous MBD in Rn, its discrete formulation in Zn (in two different natural formulations), and of the discussion of convergence of discrete MBDs to their continuous counterpart. We describe two algorithms that compute MBD, one very fast but returning only approximate MBD, the other a bit slower, but returning the exact MBD. Finally, some image processing applications of MBD are presented and the directions of potential future research in this area are indicated.

Place, publisher, year, edition, pages
Switzerland, 2017. Vol. 10502, p. 57-68
National Category
Computer Sciences Discrete Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-333683DOI: 10.1007/978-3-319-66272-5_6ISBN: 978-3-319-66272-5 (electronic)ISBN: 978-3-319-66271-8 (print)OAI: oai:DiVA.org:uu-333683DiVA, id: diva2:1157421
Conference
International Conference on Discrete Geometry for Computer Imagery
Available from: 2017-11-16 Created: 2017-11-16 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

fulltext(1030 kB)47 downloads
File information
File name FULLTEXT01.pdfFile size 1030 kBChecksum SHA-512
d279c74799d016b8690f47e0451ec1aa3d9cd23c257d3772a426cba2fd71c7c55b5202bb2d788166ed2d9c1706cfd7af9562ebfe03c9397c26d3c1996607842a
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Strand, RobinMalmberg, Filip
By organisation
Division of Visual Information and InteractionComputerized Image Analysis and Human-Computer Interaction
Computer SciencesDiscrete Mathematics

Search outside of DiVA

GoogleGoogle Scholar
Total: 47 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 61 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf