“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.