id |
ecaade2013_036 |
authors |
Bernhard, Mathias |
year |
2013 |
title |
Frequency Analysis of Wood Textures |
doi |
https://doi.org/10.52842/conf.ecaade.2013.1.597
|
source |
Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 1, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 597-603 |
wos |
WOS:000340635300062 |
summary |
“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. |
keywords |
Wood; Fourier analysis; pattern recognition; information theory. |
series |
eCAADe |
email |
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full text |
file.pdf (1,536,669 bytes) |
references |
Content-type: text/plain
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last changed |
2022/06/07 07:52 |
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