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Proceedings Paper

Local Image Filtering And Texture Classification Through The Wigner Distribution Function
Author(s): J. Bescos; G. Cristobal; J. Santamaria
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Paper Abstract

The Wigner Distribution (WD) introduced by Wigner in 1932 as a phase representation in Quantum Mechanics gives a simultaneous representation of a signal in space and spatial frequency variables [1-2]. The WD might be interpreted as a local or regional spatial-frequency representation of a signal. However, it presents two main advantages with respect to other local representations. First, the WD is a real valued function and encodes directly the Fourier phase information. Second, the election of the appropriate window size which depends upon the kind of the analyzed information, is not required for the computation of the WD.

Paper Details

Date Published: 1 January 1987
PDF: 2 pages
Proc. SPIE 0813, Optics and the Information Age, (1 January 1987); doi: 10.1117/12.967307
Show Author Affiliations
J. Bescos, Instituto de Optica (C.S.I.C.) (Spain)
G. Cristobal, Facultad de Informatica (Spain)
J. Santamaria, Instituto de Optica (C.S.I.C.) (Spain)

Published in SPIE Proceedings Vol. 0813:
Optics and the Information Age
Henri H. Arsenault, Editor(s)

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