KARAS, Pavel. Efficient Computation of Morphological Greyscale Reconstruction. In 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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Basic information
Original name Efficient Computation of Morphological Greyscale Reconstruction
Name in Czech Efektivní výpočet morfologické šedotónní rekonstrukce
Authors KARAS, Pavel (203 Czech Republic, guarantor, belonging to the institution).
Edition Saarbrücken, Warden, Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (Selected Papers), p. 54-61, 8 pp. 2011.
Publisher Schloss Dagstuhl Publishing
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/00216224:14330/11:00052132
Organization unit Faculty of Informatics
ISBN 978-3-939897-22-4
ISSN 2190-6807
Keywords in English morphological reconstruction; morphological greyscale reconstruction; algorithms; gpu; cuda
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Karas, Ph.D., učo 106808. Changed: 26/2/2015 09:45.
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 15 times faster than the CPU methods. To our best knowledge, this is the first GPU implementation of the morphological reconstruction, described in literature.
Abstract (in Czech)
Článek se zabývá GPU implementací algoritmu morfologické rekonstrukce na šedotonních obrázcích.
Links
LC535, research and development projectName: Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
Investor: Ministry of Education, Youth and Sports of the CR, Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
MSM0021622419, plan (intention)Name: Vysoce paralelní a distribuované výpočetní systémy
Investor: Ministry of Education, Youth and Sports of the CR, Highly Parallel and Distributed Computing Systems
MUNI/A/0914/2009, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace (Acronym: SV-FI MAV)
Investor: Masaryk University, Category A
2B06052, research and development projectName: Vytipování markerů, screening a časná diagnostika nádorových onemocnění pomocí vysoce automatizovaného zpracování multidimenzionálních biomedicínských obrazů (Acronym: Biomarker)
Investor: Ministry of Education, Youth and Sports of the CR, Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images
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