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Automated knot detection for high speed computed tomography on Pinus sylvestris L. and Picea abies (L.) Karst. using ellipse fitting in concentric surfaces

Published: 01 August 2013 Publication History

Abstract

High speed industrial computed tomography (CT) scanning of sawlogs is new to the sawmill industry and therefore there are no properly evaluated algorithms for detecting knots in such images. This article presents an algorithm that detects knots in CT images of logs by segmenting the knots with variable thresholds on cylindrical shells of the CT images. The knots are fitted to ellipses and matched between several cylindrical shells. Parameterized knots are constructed using regression models from the matched knot ellipses. The algorithm was tested on a variety of Scandinavian Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies (L.) Karst.) with a knot detection rate of 88-94% and generating about 1% falsely detected knots.

References

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Cited By

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  • (2022)Procedural texturing of solid wood with knotsACM Transactions on Graphics10.1145/3528223.353008141:4(1-10)Online publication date: 22-Jul-2022
  • (2015)Knot Detection from Accumulation Map by Polar ScanProceedings of the 17th International Workshop on Combinatorial Image Analysis - Volume 944810.1007/978-3-319-26145-4_26(352-362)Online publication date: 24-Nov-2015

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Information & Contributors

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Published In

cover image Computers and Electronics in Agriculture
Computers and Electronics in Agriculture  Volume 96, Issue
August, 2013
251 pages

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 August 2013

Author Tags

  1. Computed tomography
  2. Image analysis
  3. Knot
  4. Picea abies
  5. Pinus sylvestris
  6. Sawmill

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Cited By

View all
  • (2022)Procedural texturing of solid wood with knotsACM Transactions on Graphics10.1145/3528223.353008141:4(1-10)Online publication date: 22-Jul-2022
  • (2015)Knot Detection from Accumulation Map by Polar ScanProceedings of the 17th International Workshop on Combinatorial Image Analysis - Volume 944810.1007/978-3-319-26145-4_26(352-362)Online publication date: 24-Nov-2015

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