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| Title: | Automatic scanning of rough hardwood lumber for edging and trimming |
|---|---|
| Author(s): | Abbott, A. Lynn; Schmoldt, Daniel L.; Araman, Philip A.; Lee, Sang-Mook |
| Date: | 2001 |
| Source: | Proceedings, ScanTech 2001, The Ninth International Conference on Scanning Technology and Process Optimization for the Wood Industry. 101-110. |
| Description: | Scanning of unplaned, green hardwood lumber has received relatively little attention in the research community. This has been due in part to the difficulty of clearly imaging fresh-cut boards whose fibrous surfaces mask many wood features. Nevertheless, it is important to improve lumber processing early in the manufacturing stream because much wood material is needlessly edged and trimmed away each day. This paper describes a prototype system that scans rough, green lumber and automatically generates a board profile and recognizes important lumber-degrading defects. This portion of the overall "improved edging and trimming project" is primarily concerned with image acquisition and analysis. Commercially available laser sources and a video camera obtain thickness and reflectance information at 1/16-inch resolution. The resulting images are analyzed in order to detect wane and surface defects. Unlike most board-scanning systems, which process planed wood, this system has been designed specifically for use with unplaned boards in the green state. This presents both advantages and challenges in the development of image-analysis algorithms. The current system is described and some preliminary tests specimens are exampled. A demonstration prototype has been completed and will- be part of upcoming workshops at the Wood Education and Resource Center in Princeton, West Virginia. |
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