A de-texturing and spatially constrained K-means approach for image segmentation.
Max MignottePublished in: Pattern Recognit. Lett. (2011)
Keyphrases
- image segmentation
- k means
- spectral clustering
- unsupervised clustering
- fuzzy c means
- expectation maximization
- normalized cut
- clustering algorithm
- markov random field
- segmentation algorithm
- hierarchical clustering
- level set method
- deformable models
- clustering method
- multiscale
- image analysis
- cluster analysis
- data clustering
- method for image segmentation
- computer graphics
- segmentation method
- gray level
- energy function
- level set
- boundary detection
- probabilistic relaxation
- segmenting images
- image segmentation algorithm
- texture mapping
- initial cluster centers
- human perception
- graph cuts
- shape prior
- medical imaging
- multilevel thresholding
- variational level set
- unsupervised image segmentation
- fuzzy clustering algorithm
- contour detection
- unsupervised segmentation
- clustering quality
- texture segmentation
- active contours