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When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.MEMICS.2010.54
URN: urn:nbn:de:0030-drops-30679
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2011/3067/
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Karas, Pavel

Efficient Computation of Morphological Greyscale Reconstruction

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Abstract

Morphological reconstruction is an important image operator from mathematical morphology. It is very often used for filtering, segmentation, and feature extraction. However, its computation
can be very time-consuming for some input data. In this paper we review several efficient algorithms to compute the reconstruction, and compare their performance on real 3D images of large sizes. Furthermore, we propose a GPU implementation which performs up to 15x faster than the CPU methods. To our best knowledge, this is the first GPU implementation of the morphological reconstruction, described in literature.

BibTeX - Entry

@InProceedings{karas:OASIcs:2011:3067,
  author =	{Pavel Karas},
  title =	{{Efficient Computation of Morphological Greyscale Reconstruction}},
  booktitle =	{Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'10) -- Selected Papers},
  pages =	{54--61},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-22-4},
  ISSN =	{2190-6807},
  year =	{2011},
  volume =	{16},
  editor =	{Ludek Matyska and Michal Kozubek and Tom{\'a}{\v{s}} Vojnar and Pavel Zemc{\'i}k and David Antos},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2011/3067},
  URN =		{urn:nbn:de:0030-drops-30679},
  doi =		{10.4230/OASIcs.MEMICS.2010.54},
  annote =	{Keywords: GPU, morphological reconstruction}
}

Keywords: GPU, morphological reconstruction
Collection: Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'10) -- Selected Papers
Issue Date: 2011
Date of publication: 11.03.2011

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