An Evolutional Learning Algorithm Based on Weighted Likelihood for Image Segmentation.
Lin-Sen YuYongmei LiuGuanglu SunPeng LiPublished in: ICYCSEE (2015)
Keyphrases
- image segmentation
- learning algorithm
- augmented naive bayes
- maximum likelihood
- graph cuts
- active contours
- training data
- multiscale
- contour detection
- region growing
- supervised learning
- texture segmentation
- level set method
- segmentation method
- back propagation
- markov random field model
- method for image segmentation
- machine learning
- neural network
- computer vision
- image processing
- medical images
- generalization ability
- boundary detection
- active learning
- object segmentation
- shape prior
- learning problems
- classification algorithm
- markov random field
- level set
- multi class
- learning tasks
- expectation maximization
- weighted graph
- weighted sum
- rbf network
- learning scheme
- learning process
- reinforcement learning
- unsupervised image segmentation
- machine learning algorithms
- training samples