Frequency Analysis of Wood Textures

Encoding of the grain pattern’s orientation distribution for classification, comparison and search queries

Conference paper (2013)

Authors

Copyright: © 2013 Bernhard, M.
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Published Date

20-09-2013

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Abstract

“Frequency analysis of wood textures” presents the application of Fourier analysis to translate images of wood textures to the frequency domain. With this encoding, a lot more details can be captured by the same amount of data points than with other descriptions in the spatial domain. A small set of overlapping waves with different frequencies, magnitudes and phase angles allows to characterize the main features of the wood’s grain texture and to quantify and classify different samples. The sample’s color information is thereby enhanced with an array of direction vectors, describing the local orientation distribution.