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Proceedings Paper

Automatic parquet block sorting using real-time spectral classification
Author(s): Anders Astrom; Erik Astrand; Magnus Johansson
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Paper Abstract

This paper presents a real-time spectral classification system based on the PGP spectrograph and a smart image sensor. The PGP is a spectrograph which extracts the spectral information from a scene and projects the information on an image sensor, which is a method often referred to as Imaging Spectroscopy. The classification is based on linear models and categorizes a number of pixels along a line. Previous systems adopting this method have used standard sensors, which often resulted in poor performance. The new system, however, is based on a patented near-sensor classification method, which exploits analogue features on the smart image sensor. The method reduces the enormous amount of data to be processed at an early stage, thus making true real-time spectral classification possible. The system has been evaluated on hardwood parquet boards showing very good results. The color defects considered in the experiments were blue stain, white sapwood, yellow decay and red decay. In addition to these four defect classes, a reference class was used to indicate correct surface color. The system calculates a statistical measure for each parquet block, giving the pixel defect percentage. The patented method makes it possible to run at very high speeds with a high spectral discrimination ability. Using a powerful illuminator, the system can run with a line frequency exceeding 2000 line/s. This opens up the possibility to maintain high production speed and still measure with good resolution.

Paper Details

Date Published: 26 March 1999
PDF: 9 pages
Proc. SPIE 3645, Real-Time Imaging IV, (26 March 1999); doi: 10.1117/12.343791
Show Author Affiliations
Anders Astrom, Linkoping Univ. and Soliton Elektronik AB (Sweden)
Erik Astrand, Soliton Elektronik AB (Sweden)
Magnus Johansson, Soliton Elektronik AB (Sweden)


Published in SPIE Proceedings Vol. 3645:
Real-Time Imaging IV
Divyendu Sinha, Editor(s)

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