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Mathematical Morphology on Irregularly Sampled Signals
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- Asplund, Teo (author)
- Uppsala universitet,Avdelningen för visuell information och interaktion,Bildanalys och människa-datorinteraktion,Centre for Image Analysis, Uppsala University
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- Luengo Hendriks, Cris L., 1974- (author)
- Flagship Biosciences Inc., Westminster, USA
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- Thurley, Matthew (author)
- Luleå tekniska universitet,Signaler och system,Luleå University of Technology, Luleå, Sweden
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- (creator_code:org_t)
- 2017-03-16
- 2017
- English.
- In: Computer Vision – ACCV 2016 Workshops. - Cham : Springer. - 9783319544267 - 9783319544274 ; , s. 506-520
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Matematik -- Beräkningsmatematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Computational Mathematics (hsv//eng)
Keyword
- mathematical morphology
- Signalbehandling
- Signal Processing
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