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Mathematical Morphology on Irregularly Sampled Signals
Centre for Image Analysis, Uppsala University.
Flagship Biosciences Inc..
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.ORCID-id: 0000-0001-6186-7116
Centre for Image Analysis, Uppsala University.
Rekke forfattare: 42017 (engelsk)Inngår i: 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, s. 506-520Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Cham: Springer, 2017. s. 506-520
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10117
Emneord [en]
mathematical morphology
HSV kategori
Forskningsprogram
Signalbehandling
Identifikatorer
URN: urn:nbn:se:ltu:diva-61023DOI: 10.1007/978-3-319-54427-4_37ISI: 000426193700037Scopus ID: 2-s2.0-85016112447ISBN: 978-3-319-54426-7 (tryckt)ISBN: 978-3-319-54427-4 (digital)OAI: oai:DiVA.org:ltu-61023DiVA, id: diva2:1055170
Konferanse
13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016
Tilgjengelig fra: 2016-12-12 Laget: 2016-12-12 Sist oppdatert: 2018-03-15bibliografisk kontrollert

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