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A Method of Lathe Checks Measurement; SMOF device and its software

Ein Verfahren zur Messung von Rissen in Furnieren: SMOF-Apparatus und zugehörige Software

Abstract

In the present paper, a novel method for veneer checks measurement and description based on digital image analysis is evaluated. According to this method, the camera is located sideways to the veneer allowing for viewing the checks geometry in the cross-section of the veneer. Checks are opened by bending the veneer on a roller of a specific diameter and they are exposed in such a way that good visibility of checks is assured. The algorithm used reproduces the checks by finding their coarse positions on the rescaled image and then migrating to the original, full resolution image to precisely localize the checks’ bottom. The method is automatic and delivers the most important information on checks of veneer, namely distances between checks and their depths.

Zusammenfassung

In dieser Studie wird ein neues Verfahren zur Messung von Rissen in Furnieren unter Verwendung digitaler Bildanalyse untersucht. Dabei ist die Kamera seitlich angeordnet, wodurch die Rissgeometrie auf einer Querschnittsseite des Furniers betrachtet werden kann. Durch Biegen des Furniers auf einer Rolle mit spezifischem Durchmesser werden die Risse geöffnet und so belichtet, dass diese gut sichtbar sind. Der verwendete Algorithmus bestimmt die Risse, indem er zunächst in einem Bild mit verringerter Auflösung deren ungefähre Position feststellt und dann an diesen Stellen im Originalbild mit voller Auflösung die Risstiefe genau erfasst. Es handelt sich um ein automatisches Verfahren, das die wichtigsten Informationen zur Rissbildung, nämlich den Abstand zwischen den Rissen und deren Tiefe, liefert.

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Correspondence to Bartosz Pałubicki.

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Pałubicki, B., Marchal, R., Butaud, JC. et al. A Method of Lathe Checks Measurement; SMOF device and its software . Eur. J. Wood Prod. 68, 151–159 (2010). https://doi.org/10.1007/s00107-009-0360-y

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Keywords

  • Wood Prod
  • Wood Machine
  • Lathe Check
  • Coarse Position
  • Rescale Image