Supervised and unsupervised neural network methods applied to textile quality control based on improved wavelet feature extraction techniques

International Journal of Computer Mathematics

Volumn 67, Issue 1-2, 1998, Pages 169-181

  Karras, D A ^a   Karkanis, S A ^b   Mertzios, B G ^c  

^a UNIVERSITY OF IOANNINA   (Greece)

^b INSTITUTE OF NUCLEAR TECHNOLOGY AND RADIATION PROTECTION   (Greece)

^c DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

Author keywords

Cooccurrence matrices; Neural networks; Quality control; Texture; Wavelets

Indexed keywords

BACKPROPAGATION ALGORITHMS; CONFORMAL MAPPING; DEFECTS; FEATURE EXTRACTION; IMAGE COMPRESSION; NEURAL NETWORKS; QUALITY ASSURANCE; SELF ORGANIZING MAPS; TEXTILES; TEXTURES; WAVELET ANALYSIS; BACKPROPAGATION; COMPUTER VISION; LEARNING ALGORITHMS; MATRIX ALGEBRA; PROBLEM SOLVING; QUALITY CONTROL; VECTORS; WAVELET TRANSFORMS;

CO-OCCURRENCE-MATRIX; KOHONEN'S SELF-ORGANIZING FEATURE MAPS; MULTI-LAYER PERCEPTRONS; TEXTILE QUALITY CONTROL; UNSUPERVISED NEURAL NETWORKS; WAVELET FEATURE EXTRACTIONS; WAVELET TRANSFORMED IMAGES; WAVELETS;

QUALITY CONTROL; NEURAL NETWORKS;

KOHONEN'S SELF ORGANIZING FEATURE MAPS (SOFM); ON LINE BACKPROPAGATION ALGORITHMS;

EID: 0031699915     PISSN: 00207160     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207169808804658     Document Type: Article

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