Detailed Information on Publication Record
2015
GPU Implementation of Linear Morphological Openings with Arbitrary Angle
KARAS, Pavel, Vincent MORARD, Jan BARTOVSKÝ, Thierry GRANDPIERRE, Eva DOKLÁDALOVÁ et. al.Basic information
Original name
GPU Implementation of Linear Morphological Openings with Arbitrary Angle
Name in Czech
Implementace lineárních, libovolně orientovaných morfologických otevření na GPU
Authors
KARAS, Pavel (203 Czech Republic, guarantor, belonging to the institution), Vincent MORARD (250 France), Jan BARTOVSKÝ (203 Czech Republic), Thierry GRANDPIERRE (250 France), Eva DOKLÁDALOVÁ (250 France), Petr MATULA (203 Czech Republic) and Petr DOKLÁDAL (250 France)
Edition
Journal of Real-Time Image Processing, Springer-Verlag, 2015, 1861-8200
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 1.564
RIV identification code
RIV/00216224:14330/15:00080555
Organization unit
Faculty of Informatics
UT WoS
000350563300003
Keywords in English
gpu; morphology; opening; closing; linear; real-time
Tags
Tags
International impact, Reviewed
Změněno: 7/1/2019 14:02, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
Linear morphological openings and closings are important non-linear operators from mathematical morphology. In practical applications, many different orientations of digital line segments must typically be considered. In this paper, we (1) review efficient sequential as well as parallel algorithms for the computation of linear openings and closings, (2) compare the performance of CPU implementations of four state-of-the-art algorithms, (3) describe GPU implementation of two recent efficient algorithms allowing arbitrary orientation of the line segments, (4) propose, as the main contribution, an efficient and optimized GPU implementation of linear openings, and (5) compare the performance of all implementations on real images from various applications. From our experimental results, it turned out that the proposed GPU implementation is suitable for applications with large, industrial images, running under severe timing constraints.
Links
GBP302/12/G157, research and development project |
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LC535, research and development project |
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MSM0021622419, plan (intention) |
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MUNI/A/0914/2009, interní kód MU |
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