Skip to Main Content
Investigation of the effect of reducing scan resolution on simulated information-augmented sawingAuthor(s): Suraphan Thawornwong; Luis G. Occena; Daniel L. Schmoldt
Source: Proceedings, 4th International Conference on Image Processing and Scanning of Wood. 51-62.
Publication Series: Miscellaneous Publication
PDF: View PDF (254.44 KB)
DescriptionIn the past few years, computed tomography (CT) scanning technology has been applied to the detection of internal defects in hardwood logs for the purpose of obtaining a priori information that can be used to arrive at better log breakdown or sawing decisions. Since today sawyers cannot even see the inside of the log until the log faces are revealed by sawing, there is no perceived need to obtain scan images as fine and as high a resolution as those obtained in medical CT imaging. The resolution in which the CT scan data is collected is a factor of physical pixel size, thickness, and pitch. A 23 factorial experiment with two levels for each of the three factors was designed. Three hypothetical logs corresponding to the three hardwood log grades were simulation-scanned and studied. The results showed that the effect of reducing CT resolution factors (doubling pitch, thickness, and pixel size) in a simulated log processing experiment did not significantly reduce the lumber values produced from the logs.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationThawornwong, Suraphan; Occena, Luis G.; Schmoldt, Daniel L. 2000. Investigation of the effect of reducing scan resolution on simulated information-augmented sawing. Proceedings, 4th International Conference on Image Processing and Scanning of Wood. 51-62.
- Lumber value differences from reduced CT spatial resolution and simulated log sawing
- A Comparison of Several Artificial Neural Network Classifiers for CT Images of Hardwood Logs
- Tangential scanning of hardwood logs: developing an industrial computer tomography scanner
XML: View XML