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Mathematical Morphology on Irregularly Sampled Signals
Centre for Image Analysis, Uppsala University.
Flagship Biosciences Inc..
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-6186-7116
Centre for Image Analysis, Uppsala University.
Number of Authors: 4
2017 (English)In: Computer Vision – ACCV 2016 Workshops: ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part II / [ed] Chu-Song Chen, Jiwen Lu, Kai-Kuang Ma, Cham: Springer, 2017, 506-520 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper introduces a new operator that can be used to ap-proximate continuous-domain mathematical morphology on irregularly sampled surfaces. We define a new way of approximating the continuous domain dilation by duplicating and shifting samples according to a flat continuous structuring element. We show that the proposed algorithm can better approximate continuous dilation, and that dilations may be sampled irregularly to achieve a smaller sampling without greatly com-promising the accuracy of the result.

Place, publisher, year, edition, pages
Cham: Springer, 2017. 506-520 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10117
Keyword [en]
mathematical morphology
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-61023DOI: 10.1007/978-3-319-54427-4_37Scopus ID: 2-s2.0-85016112447ISBN: 978-3-319-54426-7 (print)ISBN: 978-3-319-54427-4 (electronic)OAI: oai:DiVA.org:ltu-61023DiVA: diva2:1055170
Conference
13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016
Available from: 2016-12-12 Created: 2016-12-12 Last updated: 2017-08-18Bibliographically approved

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