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

Pattern Recognition Letters

Volumn 20, Issue 3, 1999, Pages 337-345

  Cristóbal, Gabriel ^a   Hormigo, Javier ^b  

^a INSTITUTO DE ÓPTICA   (Spain)

^b UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

Hebbian learning; Principal component analysis; Texture segmentation; Wigner distribution

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; IMAGE ANALYSIS; IMAGE QUALITY; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; STATISTICAL METHODS;

CASCADE RECURSIVE LEAST SQUARED PRINCIPAL COMPONENT NEURAL NETWORKS; HEBBIAN LEARNING; PRINCIPAL COMPONENT ANALYSIS (PCA); PSEUDO-WIGNER DISTRIBUTION (PWD); TEXTURE SEGMENTATION;

IMAGE SEGMENTATION;

ARTIFICIAL NEURAL NETWORK; EIGENVALUE; PRINCIPAL COMPONENT ANALYSIS; SEGMENTATION; TEXTURE;

EID: 0345085524     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(99)00002-1     Document Type: Article

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