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Tracking Logs with RGB Images within the Wood Supply Chain: A Preliminary Study on Image Acquisition

  • Department of Computer Science, University of Salzburg
  • Holztechnikum Kuchl

Research output: Contribution to journalArticlepeer-review

Abstract

In addition to the fact that actions have been taken by the European Union and the World Bank to impede illegal logging worldwide, full traceability of logs would also be of benefit to the timber industry and market participants. Therefore, in this study, basic conditions for RGB image acquisition are derived for tracking roundwood by means of biometric features on log end faces within the wood supply chain from stump to sawmill. For this purpose, 24 logs were initially photographed in the forest after felling and photographed a second time 8 weeks later in the sawmill. Difficulties in image acquisition were analyzed qualitatively as well as quantitatively by comparing the images made in the forest with those made in the sawmill. The quantitative evaluation was carried out using different measures that are well established with respect to digital image processing. Tracking efforts solely by means of these measures turned out to be unsuitable. However, the shape measures performed best and are assumed to be supportive in combination with other methods. Therewith, conditions for a practical implementation in the future can be deduced. © Forest Products Society 2016.
Original languageEnglish
Pages (from-to)176-184
Number of pages9
JournalForest Products Journal
Volume66
Issue number3-4
DOIs
Publication statusPublished - 2016

Keywords

  • Forestry
  • Image processing
  • Sawing
  • Sawmills
  • Supply chains
  • Wood products
  • Basic conditions
  • Biometric features
  • European union
  • Illegal logging
  • Market participants
  • Quantitative evaluation
  • Shape measure
  • Timber industry
  • Image acquisition
  • Images
  • Logs
  • Saw Mills
  • Supply Chain Management

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