Unsupervised active contours driven by density distance and local fitting energy with applications to medical image segmentation

Machine Vision and Applications

Volumn 23, Issue 6, 2012, Pages 1159-1175

  Shyu, Kuo Kai ^a   Pham, Van Truong ^a   Tran, Thi Thao ^a   Lee, Po Lei ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Active contour model; Image segmentation; Intensity inhomogeneity; Level set method; Variational method

Indexed keywords

ACQUISITION PROCESS; ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; BIAS FIELD; COMPUTED TOMOGRAPHY; IMAGE INTENSITIES; IMAGING MODALITY; INHOMOGENEITIES; INTENSITY INHOMOGENEITY; INTENSITY MODELS; LEVEL SET METHOD; LOCAL INFORMATION; LOCAL TERMS; MEDICAL FIELDS; MEDICAL IMAGE SEGMENTATION; OBJECT BOUNDARIES; PRIORI KNOWLEDGE; REGION BASED ACTIVE CONTOURS; REGION-BASED; SEGMENTED IMAGES; ULTRASOUND IMAGES; VARIATIONAL METHODS;

COMPUTERIZED TOMOGRAPHY; DISTRIBUTION FUNCTIONS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGE PROCESSING; PROBABILITY DISTRIBUTIONS;

IMAGE SEGMENTATION;

EID: 84870250964     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-011-0373-5     Document Type: Article

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