Wood Veneer Species Recognition using Markovian Textural Features

0447048 - ÚTIA 2016 RIV CH eng C - Conference Paper (international conference)
Haindl, Michal - Vácha, Pavel
Wood Veneer Species Recognition using Markovian Textural Features.
Computer Analysis of Images and Patterns - CAIP 2015. Vol. I. Switzerland: Springer International Publishing, 2015 - (Azzopardi, G.; Petkov, N.), s. 300-311. Lecture Notes in Computer Science, 9256. ISBN 978-3-319-23192-1. ISSN 0302-9743.
[16th International Conference on Computer Analysis of Images and Patterns. Valletta (MT), 02.09.2015-04.09.2015]
R&D Projects: GA ČR(CZ) GA14-10911S
Institutional support: RVO:67985556
Keywords : Wood recognition * Textural features * Illumination invariants * Surface reflectance field * Bidirectional texture function
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/separaty/2015/RO/haindl-0447048.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0249423