Potentially increased sawmill yield from hardwoods using X-ray computed tomography for knot detection

Clear wood content in standing trees predicted from branch scar measurements with terrestrial LiDAR and verified with X-ray computed tomography

(2013) Stefan M. Stängle et al.   CANADIAN JOURNAL OF FOREST RESEARCH

PithExtract: A robust algorithm for pith detection in computer tomography images of wood – Application to 125 logs from 17 tree species

(2012) H. Boukadida et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An integrated 3D log processing optimization system for hardwood sawmills in central Appalachia, USA

(2012) Wenshu Lin et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Improved log rotation using information from a computed tomography scanner

(2012) Anders Berglund et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

On the use of X-ray computed tomography for determining wood properties: a review1This article is a contribution to the series The Role of Sensors in the New Forest Products Industry and Bioeconomy.

(2011) Qiang Wei et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Tracking rameal traces in sessile oak trunks with X-ray computer tomography: biological bases, preliminary results and perspectives

(2010) Francis Colin et al.   TREES-STRUCTURE AND FUNCTION