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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
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.
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.
2016 (English)In: Proceedings of Workshop on Discrete Geometry and Mathematical Morphology for Computer Vision In conjunction with ACCV 2016, Taipei, Taiwan, 2016, 2016Conference 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
2016.
National Category
Computer Science Computational Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-309921DOI: 10.1007/978-3-319-54427-4_37OAI: oai:DiVA.org:uu-309921DiVA: diva2:1053063
Conference
Workshop on Discrete Geometry and Mathematical Morphology for Computer Vision Held in conjunction with ACCV 2016, Taipei, Taiwan, 2016
Funder
Swedish Research Council, 2014-5983
Available from: 2016-12-08 Created: 2016-12-08 Last updated: 2017-03-21

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Citation style
  • apa
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