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Wood science and technology

Simulated grading of logs with an x‐ray log scanner‐grading accuracy compared with manual grading

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Pages 70-76 | Received 30 Oct 1995, Published online: 10 Dec 2008

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Read on this site (9)

Hannu Rummukainen, Marika Makkonen & Jori Uusitalo. (2021) Economic value of optical and X-ray CT scanning in bucking of Scots pine. Wood Material Science & Engineering 16:3, pages 178-187.
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Jiri Pyörälä, Ville Kankare, Mikko Vastaranta, Juha Rikala, Markus Holopainen, Marketta Sipi, Juha Hyyppä & Jori Uusitalo. (2018) Comparison of terrestrial laser scanning and X-ray scanning in measuring Scots pine (Pinus sylvestris L.) branch structure. Scandinavian Journal of Forest Research 33:3, pages 291-298.
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Magnus Fredriksson. (2012) Reconstruction of Pinus Sylvestris knots using measurable log features in the Swedish Pine Stem Bank. Scandinavian Journal of Forest Research 27:5, pages 481-491.
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Johan Skog & Johan Oja. (2010) Density measurements in Pinus sylvestris sawlogs combining X-ray and three-dimensional scanning. Scandinavian Journal of Forest Research 25:5, pages 470-481.
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Urban Nordmark & Johan Oja. (2004) Prediction of Board Values in Pinus sylvestris Sawlogs Using X-ray Scanning and Optical Three-dimensional Scanning of Stems. Scandinavian Journal of Forest Research 19:5, pages 473-480.
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Johan Oja, Stig Grundberg, Johan Fredriksson & Per Berg. (2004) Automatic grading of sawlogs: A comparison between X-ray scanning, optical three-dimensional scanning and combinations of both methods. Scandinavian Journal of Forest Research 19:1, pages 89-95.
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Urban Nordmark. (2002) Knot Identification from CT Images of Young Pinus sylvestris Sawlogs Using Artificial Neural Networks. Scandinavian Journal of Forest Research 17:1, pages 72-78.
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Johan Oja, Stig Grundberg & Anders Grönlund. (2001) Predicting the Stiffness of Sawn Products by X-ray Scanning of Norway Spruce Saw Logs. Scandinavian Journal of Forest Research 16:1, pages 88-96.
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Micael Öhman. (1998) Grade prediction of Pinus sylvestris logs with the aid of a radiograph image of the log. Scandinavian Journal of Forest Research 13:1-4, pages 83-89.
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Articles from other publishers (18)

Miloš Gejdoš, Tomáš Gergeľ, Katarína Michajlová, Tomáš Bucha & Radovan Gracovský. (2023) The Accuracy of CT Scanning in the Assessment of the Internal and External Qualitative Features of Wood Logs. Sensors 23:20, pages 8505.
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C. S. Omori & G. S. Schajer. (2023) Log Grading and Knot Identification by Oblique X-Ray Scanning. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems 6:2.
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Tomáš Gergeľ, Tomáš Bucha, Radovan Gracovský, Martin Chamula, Miloš Gejdoš & Peter Veverka. (2022) Computed Tomography as a Tool for Quantification and Classification of Roundwood—Case Study. Forests 13:7, pages 1042.
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Vojtěch Ondrejka, Tomáš Gergeľ, Tomáš Bucha & Michal Pástor. (2021) Innovative methods of non-destructive evaluation of log quality. Central European Forestry Journal 67:1, pages 3-13.
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Denis BelleyIsabelle DuchesneSteve VallerandJulie BarretteMichel Beaudoin. (2019) Computed tomography (CT) scanning of internal log attributes prior to sawing increases lumber value in white spruce ( Picea glauca ) and jack pine ( Pinus banksiana ) . Canadian Journal of Forest Research 49:12, pages 1516-1524.
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Aurimas Bukauskas, Paul Mayencourt, Paul Shepherd, Bhavna Sharma, Caitlin Mueller, Pete Walker & Julie Bregulla. (2019) Whole timber construction: A state of the art review. Construction and Building Materials 213, pages 748-769.
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Y. An & G. S. Schajer. (2014) Cone-Beam Feature-Specific CT Log Scanning. Experimental Mechanics 55:3, pages 509-518.
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Magnus Fredriksson, Anders Berglund & Olof Broman. (2014) Validating a crosscutting simulation program based on computed tomography scanning of logs. European Journal of Wood and Wood Products 73:2, pages 143-150.
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Sofia Knapic, Vanda Oliveira, Marika Makkonen, Isabel Pinto-Seppä & Helena Pereira. (2014) Circumferential variation of heartwood and stem quality in maritime pine stems. European Journal of Forest Research 133:6, pages 1007-1014.
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Barry Gardiner & John Moore. 2014. Challenges and Opportunities for the World's Forests in the 21st Century. Challenges and Opportunities for the World's Forests in the 21st Century 677 704 .
Anders Berglund, Olof Broman, Anders Grönlund & Magnus Fredriksson. (2013) Improved log rotation using information from a computed tomography scanner. Computers and Electronics in Agriculture 90, pages 152-158.
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Ping Xu. (2010) Should we consider a new approach? Detecting grain deviation caused by knots within stems. Forestry Studies in China 12:2, pages 101-105.
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J. Skog & J. Oja. (2009) Combining X-ray and three-dimensional scanning of sawlogs— Comparison between one and two X-ray directions. Combining X-ray and three-dimensional scanning of sawlogs— Comparison between one and two X-ray directions.
Outi Karppanen, Martti Venäläinen, Anni M. Harju, Stefan Willför, Suvi Pietarinen, Tapio Laakso & Pirjo Kainulainen. (2007) Knotwood as a window to the indirect measurement of the decay resistance of Scots pine heartwood. Holzforschung 61:5, pages 600-604.
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Sofia Knapic & Helena Pereira. (2005) Within-tree variation of heartwood and ring width in maritime pine (Pinus pinaster Ait.). Forest Ecology and Management 210:1-3, pages 81-89.
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Johan Oja, Lars Wallbäcks, Stig Grundberg, Erik Hägerdal & Anders Grönlund. (2003) Automatic grading of Scots pine (Pinus sylvestris L.) sawlogs using an industrial X-ray log scanner. Computers and Electronics in Agriculture 41:1-3, pages 63-75.
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Maria Magnusson Seger & Per-Erik Danielsson. (2003) Scanning of logs with linear cone-beam tomography. Computers and Electronics in Agriculture 41:1-3, pages 45-62.
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Paul Sepúlveda, Johan Oja & Anders Grönlund. (2002) Predicting spiral grain by computed tomography of Norway spruce. Journal of Wood Science 48:6, pages 479-483.
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