Skip to main content

Predicting Log Type and Knot Size Category Using External Log Shape Data from a 3D Log Scanner

Buy Article:

$63.00 plus tax (Refund Policy)

The use of new technology such as 3D scanners for measuring log shape at sawmills is increasing. These scanners can provide a detailed model of log shape and evenness of the log mantle area. These data can be used for optimizing yield but also for predicting quality of the sawn goods. This report presents a model for quality-related log features based on data from a 3D log scanner. The model includes routines for development of variables related to four categories of log properties: surface unevenness, log taper, cross-sectional out-of-roundness and straightness. In total, 230 Scots pine (Pinus sylvestris L.) logs are used for developing and validating logistic regression models for sorting logs into classes of log type and knot size. The models are tested on validation data: 97% of the logs were sorted correctly according to log type and 79% were sorted correctly according to knot size.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Publication date: 2000-02-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more