Maximum likelihood unsupervised textured image segmentation.
Fernand S. CohenZhigang FanPublished in: CVGIP Graph. Model. Image Process. (1992)
Keyphrases
- maximum likelihood
- image segmentation
- expectation maximization
- unsupervised learning
- em algorithm
- normalized cut
- active contours
- unsupervised clustering
- markov random field
- gaussian distribution
- maximum a posteriori
- parameter estimation
- cluster validation
- texture image segmentation
- graph cuts
- multiscale
- unsupervised image segmentation
- deformable models
- spectral clustering
- shape prior
- computer vision
- image analysis
- supervised learning
- semi supervised
- energy function
- method for image segmentation
- level set
- textured surfaces
- input image
- object segmentation
- contour detection
- unsupervised manner
- likelihood function
- gray level
- machine learning
- log likelihood function
- probabilistic relaxation
- region growing
- data driven
- medical imaging
- model selection
- segmentation algorithm
- boundary detection
- active learning
- graph partitioning
- image segmentation algorithm
- level set method
- pairwise
- segmentation method