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Proceedings Paper

Whole-field optical profilometry: application of nonlinear processing algorithms to the enhancement of low-contrast images
Author(s): Luca Biancardi; Sergio Carrato; Giovanni Ramponi; Giovanna Sansoni
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Paper Abstract

A nonlinear filtering technique for the preprocessing of very low contrast images has been applied to optical profilometry, as an attempt to improve the accuracy of the measurement of objects in harsh conditions. The technique is based on the application of a nonlinear architecture composed of linear Laplacian filters followed by quadratic filters which detect correlated elements. The above sequence of operators results in efficient highpass filtering, keeping at the same time the signal-to-noise ratio within acceptable limits. When applied to highly transparent or weakly diffusive surfaces, the preelaboration technique has largely improved the accuracy of the profilometer. In this paper the preelaboration technique is presented. In particular, the influence of the nonlinear image elaboration on the overall system performance is discussed.

Paper Details

Date Published: 6 October 1994
PDF: 7 pages
Proc. SPIE 2350, Videometrics III, (6 October 1994); doi: 10.1117/12.189144
Show Author Affiliations
Luca Biancardi, Univ. degli Studi di Brescia (Italy)
Sergio Carrato, Univ. degli Studi di Trieste (Italy)
Giovanni Ramponi, Univ. degli Studi di Trieste (Italy)
Giovanna Sansoni, Univ. degli Studi di Brescia (Italy)

Published in SPIE Proceedings Vol. 2350:
Videometrics III
Sabry F. El-Hakim, Editor(s)

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