Image segmentation based on fuzzy connectedness using dynamic weights

IEEE Transactions on Image Processing

Volumn 15, Issue 6, 2006, Pages 1555-1562

  Pednekar, Amol S ^a   Kakadiaris, Ioannis A ^b  

^a PHILIPS HEALTHCARE   (United States)

^b University of Houston   (United States)

Author keywords

Dynamic weights; Fuzzy connectedness; Image segmentation

Indexed keywords

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; IMAGE ANALYSIS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

DYNAMIC WEIGHTS; FUZZY CONNECTEDNESS; MAXIMUM GAIN FACTOR;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; FUZZY LOGIC; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FUZZY LOGIC; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33646879982     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2006.871165     Document Type: Article

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