Linear Watershed Algorithm for 1D Real Signals
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00320679" target="_blank" >RIV/68407700:21230/17:00320679 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/8248450/" target="_blank" >http://ieeexplore.ieee.org/document/8248450/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSAI.2017.8248450" target="_blank" >10.1109/ICSAI.2017.8248450</a>
Alternative languages
Result language
angličtina
Original language name
Linear Watershed Algorithm for 1D Real Signals
Original language description
The watershed transformation is widely used, a powerful tool for the segmentation of 2D and 3D images. In this paper we propose a fast linear one sweep algorithm generating all possible extreme weighted connected components in 1D real value signal.We also show how such a post-order list of connected components can be converted into a component tree in linear time. Furthermore, we demonstrate how some features of the connected components can be computed again in linear time.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VI20152020008" target="_blank" >VI20152020008: Comprehensive fiber optic sensor security of critical infrastructures and objects using modern information systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Systems and Informatics (ICSAI), 2017 4th International Conference on
ISBN
978-1-5386-1106-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1103-1108
Publisher name
IEEE
Place of publication
Tianjin
Event location
Hangzhou
Event date
Nov 11, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000427752100198