A robust active contour model driven by pre-fitting bias correction and optimized fuzzy c-means algorithm for fast image segmentation.
Ri JinGuirong WengPublished in: Neurocomputing (2019)
Keyphrases
- active contours
- model driven
- image segmentation
- fuzzy c means algorithm
- fuzzy c means
- bias correction
- level set
- intensity inhomogeneity
- level set method
- active contour model
- shape prior
- object boundaries
- service oriented
- segmentation method
- data driven
- metamodel
- energy function
- energy functional
- fuzzy clustering
- data integration
- computer vision
- level set formulation
- watershed segmentation
- markov random field
- multiscale
- curve evolution
- data model
- level set functions
- geodesic active contours
- graph cuts
- partial differential equations
- image processing
- region growing
- deformable models
- machine learning
- medical imaging
- variational framework
- generative model
- segmentation algorithm
- energy minimization