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Towards Sub-pixel Distance Measures for Distance Transformations
Linköping University, Department of Electrical Engineering, Information Coding.
2017 (English)In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES COMPUTER GRAPHICS, VISUALIZATION, COMPUTER VISION AND IMAGE PROCESSING 2017 and BIG DATA ANALYTICS, DATA MINING AND COMPUTATIONAL INTELLIGENCE 2017 / [ed] Yingcai Xiao, Ajith P. Abraham, 2017, 351-353 p.Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Distance Transformations are usually defined for binary images, and therefore subject to sampling noise. This paper presents a distance correction that can be applied to any existing distance transform algorithm to achieve sub-pixel accuracy, and evaluates the result. Measurements display a significant improvement in precision.

Place, publisher, year, edition, pages
2017. 351-353 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-139479ISBN: 978-989-8533-66-1 (print)OAI: oai:DiVA.org:liu-139479DiVA: diva2:1129128
Conference
Computer Graphics, Visualization, Computer Vision and Image Processing 2017
Available from: 2017-08-01 Created: 2017-08-01 Last updated: 2017-08-01

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
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