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New Algoritms for Anti-Aliased Distance Transformations
Linköping University, Department of Electrical Engineering, Information Coding. Linköping University, Faculty of Science & 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, p. 63-70Conference paper, Published paper (Refereed)
Abstract [en]

The anti-aliased Euclidean distance transform is a recent development that redefines the distance transform concept, in particular the concept of precision and correctness, and has been shown to benefit certain applications. This paper presents and evaluates new versions of the anti-aliased distance transform. Our vector-based version simplifies the algorithm while providing a richer output in the form of vector data, with no measurable degradation in quality compared to the algorithm it is based on. Finally, we use a new method for measuring errors based on generating exact ground truth images. 

Place, publisher, year, edition, pages
2017. p. 63-70
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-139478ISBN: 978-989-8533-66-1 (print)OAI: oai:DiVA.org:liu-139478DiVA, id: diva2:1129127
Conference
COMPUTER GRAPHICS, VISUALIZATION, COMPUTER VISION AND IMAGE PROCESSING 2017
Available from: 2017-08-01 Created: 2017-08-01 Last updated: 2018-09-14

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Citation style
  • apa
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Output format
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  • text
  • asciidoc
  • rtf