Plant disease leaf image segmentation based on superpixel clustering and EM algorithm.
Shanwen ZhangZhuhong YouXiaowei WuPublished in: Neural Comput. Appl. (2019)
Keyphrases
- em algorithm
- expectation maximization
- image segmentation
- k means
- model based clustering
- unsupervised learning
- mixture model
- mixture modeling
- finite mixture models
- parameter estimation
- maximum likelihood
- matrix factorisation
- gaussian mixture model
- likelihood function
- gaussian mixture
- spectral clustering
- generative model
- density estimation
- image segmentation algorithm
- finite mixture model
- maximum likelihood estimation
- clustering algorithm
- clustering method
- expectation maximisation
- minimum message length
- data clustering
- log likelihood
- bayesian framework
- probability density function
- maximum a posteriori
- multiscale
- superpixels
- hierarchical clustering
- cluster analysis
- hidden variables
- probabilistic model
- data points
- image processing
- markov random field
- categorical data
- incomplete data
- fuzzy clustering
- level set
- mixture distribution
- penalized likelihood
- bayesian information criterion
- segmentation algorithm
- latent dirichlet allocation
- self organizing maps
- similarity measure