A Machine Vision based Lumber Tracing System

Riku Hietaniemi, Sami Varjo, Jari Hannuksela


In this paper, we introduce a machine vision system for wooden board tracing in sawmills. The goal is to match images taken from boards in the beginning and at the end of the manufacturing process in order to track the movement of individual boards. The task is challenging due to the changing appearance of boards during the process. There are changes in color, texture and physical form. Lighting conditions and camera parameters are also unknown and can change between different camera systems inside the sawmill. Before matching, image alignment is carried out by using 2-D to 1-D projection signals. Signals are generated using the statistical properties of gray scale images. Aligned images are then matched using fast and compact local descriptors. The performance of the system was evaluated using over 1000 real life images captured with visual quality control cameras integrated into the production line. A tracing accuracy of over 95% was achieved with a high confidence of the individual match.


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Paper Citation

in Harvard Style

Hietaniemi R., Varjo S. and Hannuksela J. (2013). A Machine Vision based Lumber Tracing System . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 98-103. DOI: 10.5220/0004279300980103

in Bibtex Style

author={Riku Hietaniemi and Sami Varjo and Jari Hannuksela},
title={A Machine Vision based Lumber Tracing System},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},

in EndNote Style

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - A Machine Vision based Lumber Tracing System
SN - 978-989-8565-48-8
AU - Hietaniemi R.
AU - Varjo S.
AU - Hannuksela J.
PY - 2013
SP - 98
EP - 103
DO - 10.5220/0004279300980103