Texture segmentation through eigen-analysis of the Pseudo-Wigner distribution

Author:

Cristóbal Gabriel,Hormigo Javier

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference30 articles.

1. Methods of signal classification using the images produced by the Wigner–Ville distribution;Abeyskera;Pattern Reccognition Letters,1991

2. Principal component extraction using recursive least squares learning;Bannour;IEEE Trans. Neural Networks,1995

3. Méthodes temps-fréquence;Basseville;Traitment du signal,1992

4. N-folded symmetries by complex moments in Gabor space and their application to unsupervised texture segmentation;Bigun;IEEE Trans. Pattern Anal. Mach. Intell.,1994

5. Cichocki, A., Karsprzak, W., Skarbek, W., 1996. Adaptive learning algorithm for principal component analysis with partial data. In: Trappl, R. (Ed.), Cybernetics and Systems, Vol. 2. Austrian Society for Cybernetic Studies, Vienna, Austria, pp. 1014–1019

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