A Convex Clustering-based Regularizer for Image Segmentation.
Benjamin HellMarcus A. MagnorPublished in: VMV (2015)
Keyphrases
- image segmentation
- split bregman method
- total variation
- image processing
- regularization term
- convex hull
- graph cuts
- computer vision
- multiscale
- convex optimization
- image denoising
- markov random field
- level set method
- method for image segmentation
- contour detection
- semi supervised
- gray level
- denoising
- fuzzy c means
- medical imaging
- image analysis
- ground truth
- globally optimal
- deformable models
- energy functional
- active contours
- convex functions
- convex relaxation
- risk minimization
- energy function
- segmentation method
- unsupervised image segmentation
- min cut
- image segmentation algorithms
- curve evolution
- energy minimization