DETECTING 'YELLOW STAIN' IN WOOD USING SPECTRAL METHODS

Gerald McGunnigle

2012

Abstract

This paper deals with the detection of ‘yellow stain’ in wood samples using colour. We describe an investigation into the spectral properties of the stain and use the findings to design a detection system. We found that infected regions invariably differed from healthy regions in the 400nm to 450nm region of the spectrum. We developed a system based on an economical RGB camera and an optimised light source. The source consists of two narrow bands: one in the blue channel of the camera where the discriminative information is held, and one in the red channel that acts as a normalisation factor to remove the effect of the natural patterning of the wood. A simple classifier was used with the red and blue channels of the camera and produced results that agreed with our client’s subjective judgement.

References

  1. Lampinen, J., Smolander, S. and Korhonen, M., (1995), Wood Surface Inspection System Based on Generic Visual Features, Industrial Applications of Neural Networks, pages 3542. World Scientic Pub. Co.
  2. Kauppinen, H., Silven, O. (1996) The effect of illumination variations on color-based wood defect classification, Proceedings of the 13th International Conference on Pattern Recognition, 25-29 Aug. pp.828 - 832 vol.3. Vienna, Austria
  3. Lebow, P., Brunner, C., Maristany, A., Butler, D. (1996), Classification of Wood Surface Features by Spectral Reflectance, Journal of Wood and Fiber Science, Volume 28, Number 1 / January, pp.74-90
  4. Jones, P., Schimleck, L., Peter, G., Daniels R., and Clark, A. (2005) Non-destructive estimation of Pinus taeda L tracheid morphological characteristics for samples from a wide range of sites in Georgia, Wood Science and Technology, Volume 39, Number 7, 529-545,
  5. Maristany, A., Lebow, P., Brunner, C., Butler, D., and Funck, J. (1992) Classifying wood-surface features using dichromatic reflection, Proc. SPIE 1836, 56 (1993); Optics in Agriculture and Forestry, 16 November 1992, Boston, MA, USA
  6. Hagman, O., Multivariate prediction of wood surface features using an imaging spectrograph, (1997) European Journal of Wood and Wood Products, Volume 55, Number 6, 377-382,
  7. Marszalec, E. and Pietikaeinen, M., Color analysis of defects for automated visual inspection of pine wood, (1993) Machine Vision Applications in Industrial Inspection, San Jose, CA, USA
  8. Butler, D., Brunner C. and Funck, J., Wood-Surface Feature Classification Using Extended-Color Information, (2001), European Journal of Wood and Wood Products, Volume 59, Number 6, 475-482,
Download


Paper Citation


in Harvard Style

McGunnigle G. (2012). DETECTING 'YELLOW STAIN' IN WOOD USING SPECTRAL METHODS . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 551-554. DOI: 10.5220/0003756205510554


in Bibtex Style

@conference{icpram12,
author={Gerald McGunnigle},
title={DETECTING 'YELLOW STAIN' IN WOOD USING SPECTRAL METHODS},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2012},
pages={551-554},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003756205510554},
isbn={978-989-8425-99-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - DETECTING 'YELLOW STAIN' IN WOOD USING SPECTRAL METHODS
SN - 978-989-8425-99-7
AU - McGunnigle G.
PY - 2012
SP - 551
EP - 554
DO - 10.5220/0003756205510554