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Primary detection of hardwood log defects using laser surface scanningAuthor(s): Ed Thomas; Liya Thomas; Lamine Mili; Roger Ehrich; A. Lynn Abbott; Clifford Shaffer; Clifford Shaffer
Source: In: Hunt, Martin A.; Price, Jeffery R., eds. Machine vision applications in industrial inspection XI, proceedings of SPIE-IS&T electronic imaging; 2003 January 22-24; Bellingham, WA: Society of Photo-Optical Instrumentation Engineers: 5011: 39-49.
Publication Series: Other
Station: Northern Research Station
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DescriptionThe use of laser technology to scan hardwood log surfaces for defects holds great promise for improving processing efficiency and the value and volume of lumber produced. External and internal defect detection to optimize hardwood log and lumber processing is one of the top four technological needs in the nation's hardwood industry. The location, type, and severity of defects on hardwood logs are the key indicators of log quality and value. These visual cues provide information about internal log characteristics and products for which the log is suitable. We scanned 162 logswith a high-resolution industrial four-head laser surface scanner. The resulting data sets contain hundreds of thousands of three-dimensional coordinate points. The size of the data and noise presented special problems during processing. Robust regression models were used to fit geometric shapes to the data. The estimated orthogonal distances between the fitted model and the log surface are converted to a two-dimensional image to facilitate defect detection. Using robust regression methods and standard image processing tools we have demonstrated that severe surface defects on hardwood logs can be detected using height and contour analyses of three-dimensional laser scan data.
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CitationThomas, Ed; Thomas, Liya; Mili, Lamine; Ehrich, Roger; Abbott, A. Lynn; Shaffer, Clifford. 2003. Primary detection of hardwood log defects using laser surface scanning. In: Hunt, Martin A.; Price, Jeffery R., eds. Machine vision applications in industrial inspection XI, proceedings of SPIE-IS&T electronic imaging; 2003 January 22-24; Bellingham, WA: Society of Photo-Optical Instrumentation Engineers: 5011: 39-49.
Keywordslaser scanning, wood processing, defect detection, robust estimation circle fitting
- Defect detection on hardwood logs using high resolution three-dimensional laser scan data
- A graphical automated detection system to locate hardwood log surface defects using high-resolution three-dimensional laser scan data
- Using parallel computing methods to improve log surface defect detection methods
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