K-means++ clustering-based active contour model for fast image segmentation.
Yu GuoGuirong WengPublished in: J. Electronic Imaging (2018)
Keyphrases
- active contour model
- active contours
- image segmentation
- k means
- level set method
- region growing
- split bregman method
- segmentation method
- energy minimization
- shape prior
- curve evolution
- gvf snake
- texture segmentation
- geodesic active contours
- spectral clustering
- unsupervised clustering
- level set framework
- energy functional
- object boundaries
- graph cuts
- clustering algorithm
- framework for image segmentation
- fuzzy c means
- gradient vector flow
- deformable contour
- energy function
- clustering method
- boundary extraction
- expectation maximization
- force field
- multiscale
- total variation
- deformable models
- segmentation algorithm
- image processing
- object segmentation
- level set
- mumford shah functional
- prior information
- image analysis
- gray level
- snake model
- markov random field
- pairwise
- region merging
- computer vision
- medical imaging
- image restoration
- higher order