Ulcer recognition in capsule endoscopy images by texture features

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2008, Pages 234-239

  Li, Baopu ^a   Meng, Max Q H ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Capsule endoscopy image; Curvelet; Local binary pattern; Texture features

Indexed keywords

CONTENT BASED RETRIEVAL; DIAGNOSIS; ENDOSCOPY; HEALTH; IMAGE ENHANCEMENT; IMAGING TECHNIQUES; INDUSTRIAL ENGINEERING; INTELLIGENT CONTROL; NEURAL NETWORKS; TECHNOLOGY; TEXTURES;

CAPSULE ENDOSCOPY; CAPSULE ENDOSCOPY IMAGE; CONTROL AND AUTOMATION; CURVELET; CURVELET TRANSFORMS; GASTROINTESTINAL DISEASES; IMAGE DATA SETS; INVASIVENESS; LOCAL BINARY PATTERN; LOCAL BINARY PATTERNS; NEURAL NETWORK CLASSIFIERS; NEW IDEAS; NEW TECHNOLOGIES; SMALL BOWELS; TEXTURAL FEATURES; TEXTURE FEATURES;

COMPUTER AIDED DIAGNOSIS;

EID: 52349103117     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4592930     Document Type: Conference Paper

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