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Proceedings Paper

Application of spectral statistics to surface defect detection
Author(s): Hilda Deborah; Noël Richard; Jon Yngve Hardeberg
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Paper Abstract

The development of a spectral difference-based statistical processing of hyperspectral images is provided in this article. Kullback-Leibler pseudo-divergence function, which was specifically developed for the metrological processing of hyperspectral images, is used at the foundation of the statistics. As a demonstration of its use, the proposed statistics are used in visualising surface variability within a set of pigment patches. It is then further exploited to detect anomalies and deterioration that occur on the patches.

Paper Details

Date Published: 16 July 2019
PDF: 8 pages
Proc. SPIE 11172, Fourteenth International Conference on Quality Control by Artificial Vision, 1117211 (16 July 2019); doi: 10.1117/12.2521714
Show Author Affiliations
Hilda Deborah, Norwegian Univ. of Science and Technology (Norway)
Noël Richard, Univ. de Poitiers (France)
Jon Yngve Hardeberg, Norwegian Univ. of Science and Technology (Norway)


Published in SPIE Proceedings Vol. 11172:
Fourteenth International Conference on Quality Control by Artificial Vision
Christophe Cudel; Stéphane Bazeille; Nicolas Verrier, Editor(s)

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