A Convex Approach to K-Means Clustering and Image Segmentation.
Laurent CondatPublished in: EMMCVPR (2017)
Keyphrases
- texture segmentation
- image segmentation
- multiresolution
- spectral clustering
- convex optimization
- k means
- active contour model
- active contours
- image analysis
- graph cuts
- region growing
- convex hull
- piecewise linear
- image processing
- level set
- markov random field
- medical imaging
- multiscale
- computer vision
- boundary detection
- globally optimal
- unsupervised segmentation
- split bregman method
- segmentation algorithm
- neural network
- shape prior
- partitioned data
- contour detection
- ground truth
- region segmentation
- convex relaxation
- perceptual grouping
- convex sets
- clustering method
- loss function
- energy function
- level set method
- energy functional
- segmentation method
- cluster analysis
- fuzzy c means