Texture discrimination using the Wigner-Ville distribution

Javier Hormigo; Gabriel Cristobal; Leon Cohen; Lorenzo Galleani; Bruce Suter

doi:10.1117/12.506881

19 November 2003 Texture discrimination using the Wigner-Ville distribution

Javier Hormigo, Gabriel Cristobal, Leon Cohen, Lorenzo Galleani, Bruce Suter

Proceedings Volume 5203, Applications of Digital Image Processing XXVI; (2003) https://doi.org/10.1117/12.506881
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

We present an effective method for texture segmentation and analysis using a local spectral method. The method combines the advantages of a high spectral resolution of a joint representation given by the Pseudo-Wigner distribution with an effective adaptive principal component analysis. Performance of the method is evaluated using fabric samples with defects, medical images, and crack detection in metallic surfaces. The examples demonstrate the discrimination power of the present method for detecting even very subtle changes in the homogeneity of textures.

Citation Download Citation

Javier Hormigo, Gabriel Cristobal, Leon Cohen, Lorenzo Galleani, and Bruce Suter "Texture discrimination using the Wigner-Ville distribution", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); https://doi.org/10.1117/12.506881

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