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Adaptive Mathematic...
Adaptive Mathematical Morphology on Irregularly Sampled Signals in Two Dimensions
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- Asplund, Teo (author)
- Uppsala universitet,Avdelningen för visuell information och interaktion,Bildanalys och människa-datorinteraktion
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- Luengo Hendriks, Cris L., 1974- (author)
- Flagship Biosciences Inc., Westminster, Colorado, USA
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- Thurley, Matthew J., 1971- (author)
- Luleå tekniska universitet,Signaler och system
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- Strand, Robin, 1978- (author)
- Uppsala universitet,Bildanalys och människa-datorinteraktion,Avdelningen för visuell information och interaktion
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(creator_code:org_t)
- 2020-11-28
- 2020
- English.
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In: Mathematical Morphology : Theory and Applications. - : Walter de Gruyter. - 2353-3390. ; 4:1, s. 108-126
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Keyword
- Mathematical morphology
- irregular sampling
- adaptive morphology
- non-flat morphology
- ellip-tical structuring elements
- local structure tensor
- Signalbehandling
- Signal Processing
- Computerized Image Processing
Publication and Content Type
- ref (subject category)
- art (subject category)
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