Wood Veneer Species Recognition using Markovian Textural Features

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00447048" target="_blank" >RIV/67985556:_____/15:00447048 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-23192-1_25" target="_blank" >http://dx.doi.org/10.1007/978-3-319-23192-1_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-23192-1_25" target="_blank" >10.1007/978-3-319-23192-1_25</a>

Result language
angličtina
Original language name
Wood Veneer Species Recognition using Markovian Textural Features
Original language description
A mobile Android application that can automatically recognize wood species from a low quality mobile phone photo under varying illumination conditions is presented. The wood recognition is based on the Markovian, spectral, and illumination invariant textural features. The method performance was verified on a wood database, which contains veneers from sixty-six varied European and exotic wood species. The Markovian features improvement of the correct wood recognition rate is about 40 % compared to the best alternative - the Local Binary Patterns features.
Czech name
—
Czech description
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Project
<a href="/en/project/GA14-10911S" target="_blank" >GA14-10911S: Mathematical modeling of surface material appearance</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Computer Analysis of Images and Patterns - CAIP 2015
ISBN
978-3-319-23192-1
ISSN
0302-9743
e-ISSN
—
Number of pages
12
Pages from-to
300-311
Publisher name
Springer International Publishing
Place of publication
Switzerland
Event location
Valletta
Event date
Sep 2, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000364705500025

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