Shape gradient for image segmentation using information theory.
Ariane HerbulotStéphanie Jehan-BessonMichel BarlaudGilles AubertPublished in: ICASSP (3) (2004)
Keyphrases
- information theory
- image segmentation
- information theoretic
- shape prior
- statistical learning
- energy functional
- jensen shannon divergence
- multiscale
- shape model
- shannon entropy
- statistical mechanics
- conditional entropy
- shape analysis
- image gradient
- image processing
- edge detection
- deformable models
- relative entropy
- mdl principle
- shape descriptors
- graph cuts
- shape representation
- level set
- markov random field
- level set method
- computer vision
- statistical shape model
- curve evolution
- expectation maximization
- machine learning
- prior information
- active contours
- variational framework
- image analysis
- pattern recognition
- statistical physics
- video coding
- image coding