Image Segmentation Based on D-S Evidence Theory and C-means Clustering.
Xianmin WeiPublished in: CSEE (1) (2011)
Keyphrases
- image segmentation
- information fusion
- boundary detection
- markov random field
- fault diagnosis
- active contours
- region growing
- image processing
- segmentation algorithm
- graph cuts
- method for image segmentation
- deformable models
- level set
- texture segmentation
- fuzzy connectedness
- image analysis
- computer vision
- variational level set
- perceptual grouping
- region segmentation
- image segmentation algorithm
- contour detection
- computational intelligence
- shape prior
- energy functional
- level set method
- medical imaging
- gray level
- segmenting images
- markov random field model
- model based segmentation
- dempster shafer
- unsupervised image segmentation
- intensity inhomogeneity
- multiresolution
- neural network
- multiscale
- probabilistic relaxation
- boundary information
- fuzzy c means algorithm
- image registration
- unsupervised segmentation
- medical images
- spectral clustering
- energy minimization