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Abstract
Tonewood for musical instruments is quarter-sawn and frequently quality-graded based on visual appearance, mechanical and acoustic properties. The assessment uses simple human (subjective) observation, and two “experts” can rate the same sample differently. This paper describes the application of integral transforms (Fourier and Radon) for automatic (objective) assessment of the visual appearance of 10 Sitka spruce (Picea sitchensis) sample images. This work considers surface classification on the basis of grain orientation, count, spacing, and evenness or uniformity.
Keywords: Fourier transform; grain texture analysis; image processing; Radon transform; Sitka spruce
Received: 2011-2-23
Accepted: 2011-6-24
Published Online: 2011-07-26
Published in Print: 2012-02-01
©2012 by Walter de Gruyter Berlin Boston