Skip to main content

Models of Knots and Log Geometry of Young Pinus sylvestris Sawlogs Extracted from Computed Tomographic Images

Buy Article:

$63.00 plus tax (Refund Policy)

The value of solid wood products is largely determined by the sizes, types and distribution of the knots in the products. Hence, there is a great interest in describing the internal knot structure of individual logs. The Swedish Stem Bank has been extensively used for modelling the interior knot structure of Scots pine (Pinus sylvestris L.) and for simulating the outcome of sawing operations. The stem bank holds parametric descriptions, extracted from computed tomographic (CT) imagery, of mature trees. A method for extracting parametric descriptions, in compliance with the stem bank, from young Scots pine sawlogs is presented in this study. A key step in the algorithm is the use of an artificial neural network to find knots in the CT images. The accuracy of the extracted descriptions was evaluated by comparing the size and position of knots measured on 10 real boards with corresponding boards simulated based on the description. The study showed that the number of knots on the real boards was well predicted (R2=0.90). The differences in tangential and longitudinal position were 0.3±3.6 mm and 1.6±4.2 mm, respectively. The differences in tangential and longitudinal diameter were 0.6±4.0 mm and −0.6±3.9 mm, respectively. Knot diameters were more accurately predicted on boards distant from the pith than on boards close to pith.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: ANN; computed tomography; knots; log geometry; models; sawing; simulation

Document Type: Research Article

Publication date: 2003-01-01

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