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

Gabriel Cristóbal, Javier Hormigo
1999 Pattern Recognition Letters  
In this paper we propose a new method for texture segmentation based on the use of texture feature detectors derived from a decorrelation procedure of a modi®ed version of a Pseudo-Wigner distribution (PWD). The decorrelation procedure is accomplished by a cascade recursive least squared (CRLS) principal component (PC) neural network. The goal is to obtain a more ecient analysis of images by combining the advantages of using a high-resolution joint representation given by the PWD with an
more » ... adaptive principal component analysis (PCA) through the use of feedforward neural networks. Ó 0167-8655/99/$ ± see front matter Ó 1999 Elsevier Science B.V. All rights reserved. PII: S 0 1 6 7 -8 6 5 5 ( 9 9 ) 0 0 0 0 2 -1
doi:10.1016/s0167-8655(99)00002-1 fatcat:3gho2x6ugbetdkmiv6dfd5itb4