Texture image classification based on nonsubsampled contourlet transform and Local binary patterns

International Journal of Digital Content Technology and its Applications

Volumn 4, Issue 9, 2010, Pages 186-193

  Zhu, Zhengli ^a,b   Zhao, Chunxia ^a   Hou, Yingkun ^a,c  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b NANJING FORESTRY UNIVERSITY   (China)

^c TAISHAN UNIVERSITY   (China)

Author keywords

Local binary patterns; Nonsubsampled contourtlet transform; Support vector machines; Texture image classification

Indexed keywords

IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; SUPPORT VECTOR MACHINES; VECTORS;

CLASSIFICATION ACCURACY; LOCAL BINARY PATTERNS; NEW APPROACHES; NON-SUB-SAMPLED CONTOURLET TRANSFORMS; NONSUBSAMPLED CONTOURTLET TRANSFORMS; PATTERN RECOGNITION PROBLEMS; TEXTURE FEATURES; TEXTURE IMAGE;

IMAGE TEXTURE;

EID: 78751512991     PISSN: 19759339     EISSN: None     Source Type: Journal    
DOI: 10.4156/jdcta.vol4.issue9.23     Document Type: Article

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