Image segmentation and bias correction using local inhomogeneous iNtensity clustering (LINC): A region-based level set method.
Chaolu FengDazhe ZhaoMin HuangPublished in: Neurocomputing (2017)
Keyphrases
- level set method
- image segmentation
- bias correction
- level set
- intensity inhomogeneity
- active contours
- curve evolution
- clustering algorithm
- piecewise constant
- k means
- energy functional
- image processing
- level set formulation
- markov random field
- segmentation method
- computer vision
- multiscale
- narrow band
- level set framework
- geodesic active contours
- segmentation result
- deformable models
- graph cuts
- region growing
- intensity information
- wireless systems
- model based segmentation
- medical imaging
- image intensity
- mr images
- energy minimization
- region merging
- partial differential equations
- image analysis
- mumford shah
- segmentation algorithm
- level set functions
- variational formulation
- variational framework
- semi supervised
- expectation maximization