Artificial neural network for defect detection in CT images of wood
Author:
Publisher
Elsevier BV
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference48 articles.
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2. Andreu, J.P., Rinnhofer, A., 2003. Modeling of internal defects in logs for value optimization based on industrial CT scanning. In: Fifth International Conference on Image Processing and Scanning of Wood. Bad Waltersdorf Austria, pp. 23-26.
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4. Applications of computed tomography (CT) scanning technology in forest research: A timely update and review;Beaulieu;Can. J. For. Res.,2019
5. PithExtract: A robust algorithm for pith detection in computer tomography images of wood – Application to 125 logs from 17 tree species;Boukadida;Comput. Electron. Agric.,2012
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