Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection.
Leila MeziouAymeric HistaceFrédéric PreciosoOlivier RomainXavier DrayBertrand GranadoBogdan J. MatuszewskiPublished in: Int. J. Biomed. Imaging (2014)
Keyphrases
- computer assisted
- active contours
- prior shape knowledge
- segmentation method
- level set
- cardiac ultrasound images
- region based active contours
- region based segmentation
- shape prior
- active contour model
- image segmentation
- level set framework
- variational framework
- contour extraction
- geometric active contours
- low contrast
- image analysis
- shape model
- geodesic active contours
- computer aided
- image segmentation methods
- segmentation algorithm
- energy functional
- level set evolution
- energy function
- object boundaries
- prior shape
- level set method
- region growing
- narrow band
- active contour segmentation
- complex background
- gradient vector flow
- intraoperative
- tubular structures
- snake model
- deformable models
- segmentation result
- curve evolution
- input image
- initial contour
- image regions
- segmented images
- variational formulation
- mumford shah functional
- image gradient
- bounding box
- object segmentation
- b spline
- image registration
- region merging
- object shape
- shape constraints
- minimal path
- energy minimization
- model for image segmentation
- edge detection
- object detection
- multiscale