A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional.
Xavier BressonPierre VandergheynstJean-Philippe ThiranPublished in: Int. J. Comput. Vis. (2006)
Keyphrases
- object segmentation
- boundary information
- shape prior
- graph cuts
- image segmentation
- active contours
- shape model
- superpixels
- foreground objects
- deformable models
- level set
- segmentation algorithm
- segmentation method
- global optimization
- prior knowledge
- statistical models
- energy function
- user interaction
- interactive segmentation
- bayesian framework
- object detection
- prior information
- energy functional
- graph cut segmentation
- region growing
- medical images
- markov random field
- energy minimization
- image analysis
- moving objects