Pulse-coupled neural networks and one-class support vector machines for geometry invariant texture retrieval

Image and Vision Computing

Volumn 28, Issue 11, 2010, Pages 1524-1529

  Ma, Yide ^a   Liu, Li ^a   Zhan, Kun ^a   Wu, Yongqing ^a  

^a LANZHOU UNIVERSITY   (China)

Author keywords

Feature extraction; Intersecting cortical model (ICM); Pulse coupled neural network (PCNN); Support vector machine (SVM); Texture retrieval

Indexed keywords

GEARS; IMAGE RETRIEVAL; NEURAL NETWORKS; OBJECT RECOGNITION; ROTATION; SUPPORT VECTOR MACHINES; TEXTURES; VECTORS;

CLASSIFICATION METHODS; EUCLIDEAN DISTANCE; GABOR FEATURE; GEOMETRICAL CHANGES; INTERSECTING CORTICAL MODELS; ONE-CLASS SUPPORT VECTOR MACHINE; PULSE COUPLED NEURAL NETWORK; RETRIEVAL ACCURACY; RETRIEVAL SYSTEMS; ROTATION AND SCALE INVARIANTS; TEXTURE FEATURES; TEXTURE RETRIEVAL; UNIQUE FEATURES;

FEATURE EXTRACTION;

EID: 77955426957     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2010.03.006     Document Type: Article

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