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Automatically detecting the number of logs on a timber truck
Dalarna University, School of Technology and Business Studies, Computer Engineering.
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2013 (English)In: Journal of Intelligent Systems, ISSN 2191-026X, Vol. 22, no 4, 417-435 p.Article in journal (Refereed) Published
Abstract [en]

This article describes a method of automatically detecting, counting and classifying logs on a timber truck using a photograph (taken by the driver). An image-processing algorithm is developed to process the photograph to calculate an estimate of the number of logs present and their respective diameters. The algorithm uses color information in multiple color spaces as well as geometrical operators to segment the image and extract the relevant information. This information enables the sawmill to better plan internal logistics and production in advance of the truck’s arrival time. The algorithm is robust with respect to external factors such as varying lighting conditions and camera angle, but some inaccuracies remain, mainly caused by logs being occluded or covered in mud or snow.

Place, publisher, year, edition, pages
2013. Vol. 22, no 4, 417-435 p.
Keyword [en]
Log detection; color segmentation; circular object detection; forestry; Sawmill
National Category
Computer Engineering
Research subject
Komplexa system - mikrodataanalys
Identifiers
URN: urn:nbn:se:du-13815DOI: 10.1515/jisys-2013-0026OAI: oai:DiVA.org:du-13815DiVA: diva2:697562
Available from: 2014-02-18 Created: 2014-02-18 Last updated: 2014-02-20Bibliographically approved

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Citation style
  • apa
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