Texture analysis for ulcer detection in capsule endoscopy images

Image and Vision Computing

Volumn 27, Issue 9, 2009, Pages 1336-1342

  Li, Baopu ^a   Meng, Max Q H ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Capsule endoscopy image; Curvelet transform; Local binary pattern; Neural network; Support vector machines; Texture features

Indexed keywords

CONTENT BASED RETRIEVAL; ENDOSCOPY; MULTILAYER NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

CAPSULE ENDOSCOPY; CAPSULE ENDOSCOPY IMAGE; COMPUTERIZED METHODS; CURVELET; CURVELET TRANSFORM; ILLUMINATION CHANGES; IMAGE DATA; INVASIVENESS; LOCAL BINARY PATTERN; LOCAL BINARY PATTERNS; MULTI-DIRECTIONAL; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; SMALL BOWEL; TEXTURAL FEATURE; TEXTURE ANALYSIS; TEXTURE EXTRACTION; TEXTURE FEATURES;

TEXTURES;

EID: 67349134517     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2008.12.003     Document Type: Article

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