CT image processing for hardwood log inspection

Dongping Zhu; Richard W. Conners; Philip A. Araman

doi:10.1117/12.50818

1 December 1991 CT image processing for hardwood log inspection

Dongping Zhu, Richard W. Conners, Philip A. Araman

Proceedings Volume 1567, Applications of Digital Image Processing XIV; (1991) https://doi.org/10.1117/12.50818
Event: San Diego, '91, 1991, San Diego, CA, United States

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.

Citation Download Citation

Dongping Zhu, Richard W. Conners, and Philip A. Araman "CT image processing for hardwood log inspection", Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); https://doi.org/10.1117/12.50818

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