Image Segmentation Based on k-Means Clustering and Energy-Transfer Proximity.
Jan GauraEduard SojkaMichal KrumniklPublished in: ISVC (2) (2011)
Keyphrases
- image segmentation
- energy minimization
- spectral clustering
- graph cuts
- energy consumption
- region growing
- knowledge transfer
- transfer learning
- segmentation method
- markov random field
- clustering algorithm
- chan vese model
- unsupervised image segmentation
- energy function
- image processing
- active contours
- level set
- deformable models
- multilevel thresholding
- method for image segmentation
- image analysis
- probabilistic relaxation
- object segmentation
- energy saving
- segmenting images
- markov random field model
- low energy
- segmented images
- graph partitioning
- medical imaging
- level set method
- boundary detection
- fuzzy c means
- minimum energy
- neural network
- signed distance function
- k means
- multiresolution
- multiscale
- computer vision
- image segmentation algorithms
- unsupervised segmentation
- region merging
- normalized cut
- segmentation algorithm