Rotationally Invariant Bark Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00492498" target="_blank" >RIV/67985556:_____/18:00492498 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-97785-0_3" target="_blank" >http://dx.doi.org/10.1007/978-3-319-97785-0_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-97785-0_3" target="_blank" >10.1007/978-3-319-97785-0_3</a>
Alternative languages
Result language
angličtina
Original language name
Rotationally Invariant Bark Recognition
Original language description
An efficient bark recognition method based on a novel wide-sense Markov spiral model textural representation is presented. Unlike the alternative bark recognition methods based on various gray-scale discriminative textural descriptions, we benefit from fully descriptive color, rotationally invariant bark texture representation. The proposed method significantly outperforms the state-of-the-art bark recognition approaches in terms of the classification accuracy.
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
20205 - Automation and control systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018
ISBN
978-3-319-97784-3
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
22-31
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Beijing
Event date
Aug 17, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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