Local Image Filtering And Texture Classification Through The Wigner Distribution Function

J. Bescos; G. Cristobal; J. Santamaria

doi:10.1117/12.967307

1 January 1987 Local Image Filtering And Texture Classification Through The Wigner Distribution Function

J. Bescos, G. Cristobal, J. Santamaria

Proceedings Volume 0813, Optics and the Information Age; (1987) https://doi.org/10.1117/12.967307
Event: 14th Congress of the International Commission for Optics, 1987, Quebec, Canada

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.

Citation Download Citation

J. Bescos, G. Cristobal, and J. Santamaria "Local Image Filtering And Texture Classification Through The Wigner Distribution Function", Proc. SPIE 0813, Optics and the Information Age, (1 January 1987); https://doi.org/10.1117/12.967307

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