Abstract
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.
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CITATION STYLE
Haindl, M., & Vácha, P. (2015). Wood veneer species recognition using markovian textural features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9256, pp. 300–311). Springer Verlag. https://doi.org/10.1007/978-3-319-23192-1_25
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