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@inproceedings{934440, author = {Karas, Pavel}, address = {Saarbrücken, Warden}, booktitle = {Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (Selected Papers)}, keywords = {morphological reconstruction; morphological greyscale reconstruction; algorithms; gpu; cuda}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Saarbrücken, Warden}, isbn = {978-3-939897-22-4}, pages = {54-61}, publisher = {Schloss Dagstuhl Publishing}, title = {Efficient Computation of Morphological Greyscale Reconstruction}, url = {http://drops.dagstuhl.de/opus/volltexte/2011/3067}, year = {2011} }
TY - JOUR ID - 934440 AU - Karas, Pavel PY - 2011 TI - Efficient Computation of Morphological Greyscale Reconstruction PB - Schloss Dagstuhl Publishing CY - Saarbrücken, Warden SN - 9783939897224 KW - morphological reconstruction KW - morphological greyscale reconstruction KW - algorithms KW - gpu KW - cuda UR - http://drops.dagstuhl.de/opus/volltexte/2011/3067 N2 - 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 15 times faster than the CPU methods. To our best knowledge, this is the first GPU implementation of the morphological reconstruction, described in literature. ER -
KARAS, Pavel. Efficient Computation of Morphological Greyscale Reconstruction. In \textit{Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (Selected Papers)}. Saarbrücken, Warden: Schloss Dagstuhl Publishing, 2011, p.~54-61. ISBN~978-3-939897-22-4.
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