16 September 1999 Visual inspection by spectral features in the ceramics industry
Author Affiliations +
Proceedings Volume 3826, Polarization and Color Techniques in Industrial Inspection; (1999) https://doi.org/10.1117/12.364312
Event: Industrial Lasers and Inspection (EUROPTO Series), 1999, Munich, Germany
Abstract
Visual quality control is an important application area of machine vision. In ceramics industry, it is essential that in each set of ceramic tiles every single tile looks similar, while considering e.g. color and texture. Our goal is to design a machine vision system that can estimate the sufficient similarity or same appearance to the human eye. Currently, the estimation is usually done by human vision. Our main approach is to use accurate spectral representation of color, and compare spectral features to the RGB color features. The authors have recently proposed preliminary methods and results for the classification of color features. In this paper the approach is developed further to cope with illumination effects and to take more advantage of spectral features more. Experiments with five classes of brown tiles are discussed. Besides the k-NN classifier, a neural network, called the Self-Organizing Map (SOM) is used for understanding spectral features. Every single spectrum in each tile is used as input to a 2-D SOM with 30 X 30 nodes or neurons. The SOM is analyzed in order to understand how spectra are clustered. As a result, the nodes are labeled according to the classes. Another interest is to know whether we can find the order of spectral colors. In our approach, all spectra are clustered by 32 nodes in a 1-D SOM, and each pixel (spectrum) is presented by pseudocolors according to the trained nodes. Thus, each node corresponds to one pseudocolor and every spectrum is mapped into one of these nodes. Finally, the results are compared to experiments with human vision.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Saku Kukkonen, Saku Kukkonen, Heikki A. Kalviainen, Heikki A. Kalviainen, Jussi P. S. Parkkinen, Jussi P. S. Parkkinen, } "Visual inspection by spectral features in the ceramics industry", Proc. SPIE 3826, Polarization and Color Techniques in Industrial Inspection, (16 September 1999); doi: 10.1117/12.364312; https://doi.org/10.1117/12.364312
PROCEEDINGS
12 PAGES


SHARE
RELATED CONTENT

Supervised color constancy for machine vision
Proceedings of SPIE (May 31 1991)
Automatic Inspection In Electronics Manufacturing
Proceedings of SPIE (November 16 1986)
Estimation of lean and fat composition of pork ham using...
Proceedings of SPIE (January 05 1995)
Quality control in tile production
Proceedings of SPIE (October 05 1998)

Back to Top