article id 388,
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                        Research article
                    
        
                                    
                                    
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                            Sawn wood from curved logs is prone to have cross grain and contain  compression wood, both of which affect the dimensional stability.  Different types of curvature can, however, have different effects on  both the sawing process and board quality, which is why a standard  measure of bow height alone is not enough to sort logs or set the log  quality. The aim of this study was to evaluate the repeatability when  sorting curved saw logs using a 3D log scanner. In the study, 56 logs  were categorized into five different curvature types and four different  degrees of curvature severity. The logs were run through a Rema 3D log  scanner four times, and the external geometry was recorded. From the  geometry data, variables describing log shapes were calculated and used  to develop models using linear discriminant analysis, which was used to  classify the logs according to curvature type. The accuracy and  repeatability were evaluated for the classifications with Cohen’s simple  Kappa coefficient. The results of this study showed that it is possible  to sort logs by curve type using a 3D log scanner, although sorting by  curve type was largely dependent on curve severity. The repeatability  test determined that the chance of a curved log being graded identically  two consecutive times was 0.40, measured as kappa.
                        
                
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                            Edlund,
                            SLU, Department of Forest Products and Markets, P.O. Box 7060, SE-750 07 Uppsala, Sweden
                                                        E-mail:
                                                            jacob.edlund@spm.slu.se
                                                                                          
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                            Warensjö,
                            SLU, Department of Forest Products and Markets, P.O. Box 7060, SE-750 07 Uppsala, Sweden
                                                        E-mail:
                                                            mw@nn.se