Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
  • text
  • asciidoc
  • rtf
Adaptive Mathematical Morphology on Irregularly Sampled Signals in Two Dimensions
Uppsala University.
Flagship Biosciences Inc, Colorado, USA.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems. Innovative Machine Vision Pty Ltd.ORCID iD: 0000-0001-6186-7116
Uppsala University.
2019 (English)In: Mathematical Morphology : Theory and Applications, ISSN 2353-3390Article in journal (Refereed) Submitted
Abstract [en]

This paper proposes a way of better approximating continuous, two-dimensional morphologyin the discrete domain, by allowing for irregularly sampled input and output signals. We generalizeprevious work to allow for a greater variety of structuring elements, both flat and non-flat. Experimentallywe show improved results over regular, discrete morphology with respect to the approximation ofcontinuous morphology. It is also worth noting that the number of output samples can often be reducedwithout sacrificing the quality of the approximation, since the morphological operators usually generateoutput signals with many plateaus, which, intuitively do not need a large number of samples to be correctlyrepresented. Finally, the paper presents some results showing adaptive morphology on irregularlysampled signals.

Place, publisher, year, edition, pages
De Gruyter Open, 2019.
Keywords [en]
mathematical morphology
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-76624OAI: oai:DiVA.org:ltu-76624DiVA, id: diva2:1368089
Projects
Noggranna bildbaserade mätningar genom oregelbunden sampling
Funder
Swedish Research Council, E0598301Available from: 2019-11-05 Created: 2019-11-05 Last updated: 2019-11-05

Open Access in DiVA

No full text in DiVA

Authority records BETA

Thurley, Matthew

Search in DiVA

By author/editor
Thurley, Matthew
By organisation
Signals and Systems
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 34 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
  • text
  • asciidoc
  • rtf