An Effective Segmentation for Noise-Based Image Verification Using Gamma Mixture Models.
Ling CaiYiren XuLei HeYuming ZhaoXin YangPublished in: ACCV (3) (2009)
Keyphrases
- mixture model
- image segmentation
- segmentation method
- segmentation algorithm
- image features
- test images
- expectation maximization
- image regions
- gaussian mixture model
- image segmentation algorithm
- edge detection
- pixel level
- segmented images
- input image
- model selection
- image content
- energy function
- unsupervised image segmentation
- em algorithm
- probability density function
- density estimation
- generative model
- pixel values
- image segmentation algorithms
- segmentation result
- automatic model selection
- gaussian mixture
- maximum likelihood
- unsupervised learning
- object segmentation
- bayesian framework
- similarity measure
- probabilistic model
- learning algorithm