A cluster-based wavelet feature extraction method and its application

Engineering Applications of Artificial Intelligence

Volumn 23, Issue 2, 2010, Pages 196-202

  Yu, Gang ^a   Kamarthi, Sagar V ^b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b Northeastern University   (United States)

Author keywords

Cluster based; Feature extraction; Surface defect; Texture classification; Wavelet

Indexed keywords

APPLICATION-SPECIFIC; CLASSIFICATION ACCURACY; CLUSTER BASED; CLUSTER BASED APPROACH; DEFECT DETECTION; DISJOINT CLUSTERS; DOMINANT COEFFICIENTS; EXTRACTING FEATURES; FEATURE EXTRACTION METHODS; FEATURE VECTORS; FREQUENCY CHANNELS; IMAGE CLASSIFIERS; INFORMATION CONTENTS; INPUT PATTERNS; MATRIX; OVERLAPPING CLUSTERS; TEST IMAGES; TEXTURE CLASSIFICATION; TWO-DIMENSIONAL DISCRETE WAVELET TRANSFORM; WAVELET COEFFICIENTS; WAVELET FEATURES; WOOD SURFACES;

CLASSIFIERS; DEFECTS; DISCRETE WAVELET TRANSFORMS; IMAGE ANALYSIS; NEURAL NETWORKS; TEXTURES; TWO DIMENSIONAL;

FEATURE EXTRACTION;

EID: 75749129793     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2009.11.004     Document Type: Article

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