MONOGENIC-LBP: A new approach for rotation invariant texture classification

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2010, Pages 2677-2680

  Zhang, Lin ^a   Zhang, Lei ^a   Guo, Zhenhua ^a   Zhang, David ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

LBP; Monogenic signal; Texture classification

Indexed keywords

LBP; LOCAL BINARY PATTERN OPERATORS; LOCAL PHASE; LOCAL SURFACES; MONOGENIC SIGNAL; NEW APPROACHES; POTENTIAL APPLICATIONS; RIESZ TRANSFORM; ROTATION INVARIANT; STATE-OF-THE-ART METHODS; TEXTURE CLASSIFICATION; TEXTURE FEATURES;

COMPUTER APPLICATIONS; COMPUTER VISION; IMAGING SYSTEMS; ROTATION;

TEXTURES;

EID: 78651073040     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2010.5651885     Document Type: Conference Paper

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