CT image processing for hardwood log inspection

Details CT image processing for hardwood log inspection CT image processing for hardwood log inspection

Dec 1991

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1991spie.1567..232z&link_type=abstract

Proc. SPIE Vol. 1567, p. 232-243, Applications of Digital Image Processing XIV, Andrew G. Tescher; Ed.

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This study explores the application of digital image processing techniques to a machine vision system for log inspection in the forest products industry. This machine vision system uses the computerized tomography (CT) imaging to locate and identify internal defects in hardwood logs. To apply CT to these industrial vision problems requires efficient and robust image processing methods. Several image processing techniques are addressed in this paper: adaptive image smoothing, multi-threshold-based segmentation, morphological filtering, and 3-D connectiveness labeling. Experimental results of these image processing techniques with CT images from two different wood species demonstrate the efficacy of the inspection system.

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