Machine Learning evaluation of microscopy image segmentation methods: The case of Gaussian Mixture Models.
Manolis ChatzigeorgiouMichalis VrigkasNikos BoukosMargarita Beazi-KatsiotiMarios KatsiotisVassilios ConstantoudisPublished in: SETN (2022)
Keyphrases
- gaussian mixture model
- machine learning
- image segmentation methods
- mixture model
- speaker recognition
- em algorithm
- image segmentation
- probability density
- probability density function
- expectation maximization
- feature vectors
- maximum likelihood
- active contours
- density estimation
- feature space
- level set
- information extraction
- covariance matrices
- computer vision
- input image
- image features
- ground truth
- object categories
- gaussian distribution
- image processing