Crack Detection in Computer Tomographic Scans of Softwood Tree Discs
Softwood
DOI:
10.13073/fpj-d-12-00079.1
Publication Date:
2013-10-28T15:41:04Z
AUTHORS (4)
ABSTRACT
Abstract Cracks in softwood are an important defect that reduces the quality of sawn timber for construction purposes. As with all other reducing features wood, it is significant interest to know about their number and position a log before sawing. On one hand, cracks relatively easy distinguish from wood by means computer tomographic (CT) scanning owing large differences density. The fact they tend be irregular very thin, however, complicates detection. This study describes method automated crack detection single CT slices evaluates its precision terms both rate length measurement. Twenty tree discs were sampled spruce ( Picea abies ) silver fir Abies alba logs scanned tomograph. results compared data manual reference measurements on physical visual inspection images. Under optimal conditions, 84 percent. average underestimation 18 mm heart checks 15 radial checks. There no sharp threshold width limits overall this can seen as sufficient practical purposes, when standard errors measurement considered.
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