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Proceedings Paper

CT image processing for hardwood log inspection
Author(s): Dongping Zhu; Richard W. Conners; Philip A. Araman
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Paper Abstract

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.

Paper Details

Date Published: 1 December 1991
PDF: 12 pages
Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50818
Show Author Affiliations
Dongping Zhu, Virginia Polytechnic Institute and State Univ. (United States)
Richard W. Conners, Virginia Polytechnic Institute and State Univ. (United States)
Philip A. Araman, Brooks Forest Products Ctr./USDA Forest Service (United States)


Published in SPIE Proceedings Vol. 1567:
Applications of Digital Image Processing XIV
Andrew G. Tescher, Editor(s)

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