X-ray image classification using random forests with local wavelet-based CS-local binary patterns

Journal of Digital Imaging

Volumn 24, Issue 6, 2011, Pages 1141-1151

  Ko, Byoung Chul ^a   Kim, Seong Hoon ^a   Nam, Jae Yeal ^a  

^a Keimyung University   (South Korea)

Author keywords

Automated; Decision trees; Diagnostic imaging; Digital image management; Image analysis; Local binary patterns; Pattern recognition; Random forests; X ray image classification

Indexed keywords

AUTOMATED; DIAGNOSTIC IMAGING; DIGITAL IMAGE MANAGEMENT; LOCAL BINARY PATTERNS; RANDOM FORESTS; X-RAY IMAGE;

BINARY TREES; CONTENT BASED RETRIEVAL; FORESTRY; IMAGE ANALYSIS; IMAGE CLASSIFICATION; PATTERN RECOGNITION; X RAY ANALYSIS; X RAY APPARATUS; X RAYS;

DECISION TREES;

AUTOMATION; BINARY SYSTEMS; CLASSIFICATION; DECISION THEORY; IMAGE ANALYSIS; PATTERN RECOGNITION; RANDOM PROCESSES; X RAY ANALYSIS; X RAYS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DECISION TREE; HUMAN; IMAGE QUALITY; METHODOLOGY; SIGNAL PROCESSING; TIME;

ALGORITHMS; DECISION TREES; HUMANS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 84855587086     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-011-9380-3     Document Type: Article

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