Performance analysis of EM-MPM and K-means clustering in 3D ultrasound image segmentation.
Huanyi YangLauren A. ChristopherNebojsa DuricErik WestPredrag R. BakicPublished in: EIT (2012)
Keyphrases
- image segmentation
- expectation maximization
- k means
- em algorithm
- parameter estimation
- spectral clustering
- mixture model
- unsupervised learning
- image analysis
- gaussian mixture model
- markov random field
- bayesian framework
- object segmentation
- boundary detection
- maximum a posteriori
- active contours
- gray level
- region growing
- probabilistic model
- deformable models
- maximum likelihood
- multiscale
- clustering algorithm
- segmentation method
- image processing
- fuzzy c means
- shape prior
- ultrasound images
- neural network
- sea surface
- normalized cut
- region merging
- multilevel thresholding
- contour detection
- probabilistic relaxation
- level set method
- medical imaging
- generative model
- computer vision
- graph partitioning
- data clustering
- image segmentation algorithm
- segmenting images
- expectation maximisation
- level set