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Mathematical Morphology on Irregularly Sampled Signals
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: 0000-0002-0612-558x
Flagship Biosciences Inc., Westminster, USA.
Luleå University of Technology, Luleå, Sweden.
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.
2017 (English)In: Computer Vision – ACCV 2016 Workshops. ACCV 2016, Springer, 2017, Vol. 10117, p. 506-520Conference paper, Published paper (Refereed)
Abstract [en]

This paper introduces a new operator that can be used to approximate 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 compromising the accuracy of the result.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 10117, p. 506-520
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 10117
National Category
Computer Sciences Computational Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-309921DOI: 10.1007/978-3-319-54427-4_37ISI: 000426193700037ISBN: 978-3-319-54427-4 (electronic)ISBN: 978-3-319-54426-7 (print)OAI: oai:DiVA.org:uu-309921DiVA, id: diva2:1053063
Conference
13th Asian Conference on Computer Vision (ACCV), Taipei, Taiwan, November 20-24, 2016
Funder
Swedish Research Council, 2014-5983Available from: 2016-12-08 Created: 2016-12-08 Last updated: 2018-05-24Bibliographically approved

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Asplund, Teo

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Asplund, TeoLuengo Hendriks, Cris L.Strand, Robin
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