Spatial Constrained K-Means for Image Segmentation.
Yajuan LiYue LiuBingde CuiChao SunXiaoxuan JiJing ZhangBufang LiHuanhuan ChenJianwu ZhangYalei WangXiaolin WangPublished in: IntelliSys (1) (2020)
Keyphrases
- image segmentation
- k means
- spectral clustering
- expectation maximization
- spatial data
- unsupervised clustering
- normalized cut
- spatial information
- clustering algorithm
- spatio temporal
- fuzzy c means
- hierarchical clustering
- image analysis
- graph cuts
- deformable models
- space time
- spatial reasoning
- method for image segmentation
- boundary detection
- medical imaging
- spatial features
- shape prior
- spatial relationships
- unsupervised image segmentation
- data clustering
- energy function
- clustering method
- active contours
- level set
- markov random field
- multiscale
- spatial relations
- region growing
- document clustering
- computer vision
- region segmentation
- semi supervised
- markov random field model
- watershed transformation
- image processing