Institute of Information Theory and Automation

Publication details

Wood Veneer Species Recognition using Markovian Textural Features

Conference Paper (international conference)

Haindl Michal, Vácha Pavel

serial: Computer Analysis of Images and Patterns - CAIP 2015, p. 300-311 , Eds: Azzopardi George, Petkov Nicolai

action: 16th International Conference on Computer Analysis of Images and Patterns, (Valletta, MT, 02.09.2015-04.09.2015)

project(s): GA14-10911S, GA ČR

keywords: Wood recognition, Textural features, Illumination invariants, Surface reflectance field, Bidirectional texture function

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abstract (eng):

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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Last modification: 21.12.2012
Institute of Information Theory and Automation