Print Email Facebook Twitter Frequency Analysis of Wood Textures: Encoding of the grain patterns orientation distribution for classification, comparison and search queries Part of: eCAADe 2013: Computation and Performance Proceedings of the 31st International Conference on Education and research in Computer Aided Architectural Design in Europe· list the conference papers Title Frequency Analysis of Wood Textures: Encoding of the grain patterns orientation distribution for classification, comparison and search queries Author Bernhard, M. Date 2013-09-20 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 woods grain texture and to quantify and classify different samples. The samples color information is thereby enhanced with an array of direction vectors, describing the local orientation distribution. Subject woodFourier analysispattern recognitioninformation theory To reference this document use: http://resolver.tudelft.nl/uuid:6b00cce3-d3b0-4280-a3a7-c668017e2f1c Part of collection Conference proceedings Document type conference paper Rights (c) 2013 Bernhard, M. Files PDF ecaade2013_036.content.pdf 1.45 MB Close viewer /islandora/object/uuid:6b00cce3-d3b0-4280-a3a7-c668017e2f1c/datastream/OBJ/view