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Proceedings Paper

Rough Surfaces Classification Using Fourier Transform
Author(s): C. Gorecki
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Paper Abstract

An optical/digital approach to the classification of rough surfaces is described. The setup consists of a coherent optical system to generate the Fourier irradiance of a rough sample and a digital computer to process data. The sampling of Fourier spectra is achieved with a wedge ring detector. The extraction and measurement of specific statistical parameters of Fourier spectrum are done for two typical mached samples. An analysis of the efficiency of these parameters in roughness classification is also carried out.

Paper Details

Date Published: 16 January 1989
PDF: 7 pages
Proc. SPIE 0954, Optical Testing and Metrology II, (16 January 1989); doi: 10.1117/12.947599
Show Author Affiliations
C. Gorecki, Laboratoire d'Optique (France)

Published in SPIE Proceedings Vol. 0954:
Optical Testing and Metrology II
Chander Prakash Grover, Editor(s)

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