Automated Data-Driven Selection of the Hyperparameters for Total-Variation-Based Texture Segmentation.
Barbara PascalSamuel VaiterNelly PustelnikPatrice AbryPublished in: J. Math. Imaging Vis. (2021)
Keyphrases
- texture segmentation
- data driven
- hyperparameters
- model selection
- cross validation
- texture analysis
- multiresolution
- closed form
- bayesian inference
- region and edge information
- gabor filters
- random sampling
- image segmentation
- noise level
- bayesian framework
- support vector
- segmentation of textured images
- maximum likelihood
- prior information
- em algorithm
- maximum a posteriori
- sample size
- active contour model
- noisy images
- pattern recognition
- incomplete data
- feature selection
- image reconstruction
- incremental learning
- image processing
- missing values
- machine learning
- data sets