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Proceedings Paper

Optical classification of metal-milled samples using Fourier spectrum sampling
Author(s): Christophe Gorecki
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Paper Abstract

An optical/digital approach to the classification of rough surfaces using Fourier spectrum sampling is described. The sampling of the 2-D Fourier spectrum is achieved with wedge ring detector which reduces an infinitely dimensioned spectrum image into a set of 64 measurements. To discriminate three metal milled samples in this reduced subspace we employ the Karhunen-Loève transformation. The classification procedure then selects automatically the best subspace from the K-L feature vectors.

Paper Details

Date Published: 1 August 1990
PDF: 8 pages
Proc. SPIE 1265, Industrial Inspection II, (1 August 1990); doi: 10.1117/12.20249
Show Author Affiliations
Christophe Gorecki, Univ. de Franche-Comte (France)


Published in SPIE Proceedings Vol. 1265:
Industrial Inspection II
Donald W. Braggins, Editor(s)

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