Image segmentation based on solving the flow in the mesh with the connections of limited capacities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238517" target="_blank" >RIV/61989100:27240/17:10238517 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-59876-5_19" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-59876-5_19</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-59876-5_19" target="_blank" >10.1007/978-3-319-59876-5_19</a>
Alternative languages
Result language
angličtina
Original language name
Image segmentation based on solving the flow in the mesh with the connections of limited capacities
Original language description
This paper presents a novel seeded segmentation technique inspired by the flowing of a liquid in a mesh of pipes. The method can be likened to the anisotropic diffusion algorithm. On the other hand, some substantial changes in the relation of how the diffusion works are included. The method is based on the spreading of liquid from the foreground seeds to the neighboring image points that represent basins with an initial amount of liquid. The background seeds drain the liquid from the neighboring basins. If a basin is full or empty, the corresponding pixel becomes a new source or sink. The algorithm runs until all pixels become either sources or sinks. The properties of the method are illustrated on the image segmentation of synthetic images. The comparison with other segmentation techniques is presented on real-life images. The experiments show promising results of the new method. © Springer International Publishing AG 2017.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Lecture Notes in Computer Science. Volume 10317
ISBN
978-3-319-59875-8
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
8
Pages from-to
163-170
Publisher name
Springer
Place of publication
Cham
Event location
Montréal
Event date
Jul 5, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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