A General Framework for Context-Specific Image Segmentation Using Reinforcement Learning.
Lichao WangKarim LekadirSu-Lin LeeRobert D. MerrifieldGuang-Zhong YangPublished in: IEEE Trans. Medical Imaging (2013)
Keyphrases
- context specific
- image segmentation
- reinforcement learning
- factored mdps
- function approximation
- domain specific
- method for image segmentation
- computer vision
- qualitative probabilistic networks
- markov decision processes
- reinforcement learning algorithms
- state space
- image processing
- model free
- segmentation algorithm
- multiscale
- markov random field
- active contours
- boundary detection
- deformable models
- level set
- action selection
- image analysis
- region growing
- segmented images
- contour detection
- optimal control
- optimal policy
- segmentation method
- energy function
- graph cuts
- expectation maximization
- multi agent
- energy functional
- level set method
- machine learning
- gray level
- image segmentation algorithm
- learning process
- probabilistic relaxation
- bayesian networks
- knowledge base
- learning algorithm