A spatially constrained shifted asymmetric Laplace mixture model for the grayscale image segmentation.
Hao SunXianqiang YangHuijun GaoPublished in: Neurocomputing (2019)
Keyphrases
- gray scale
- mixture model
- image segmentation
- gray level
- expectation maximization
- binary images
- em algorithm
- color images
- gaussian mixture model
- grayscale images
- probabilistic model
- mathematical morphology
- generative model
- density estimation
- maximum likelihood
- multiscale
- model selection
- unsupervised learning
- image processing
- language model
- mixture modeling
- graph cuts
- image analysis
- error diffusion
- segmentation algorithm
- segmentation method
- markov random field
- probability density function
- co occurrence
- level set
- gaussian mixture
- unsupervised image segmentation
- mean shift
- color information
- object segmentation
- image features
- generalized em algorithm