Supervised Learning of Hierarchical Image Segmentation.
Raphael LapertotGiovanni ChierchiaBenjamin PerretPublished in: CIARP (2023)
Keyphrases
- supervised learning
- image segmentation
- unsupervised learning
- image processing
- supervised classification
- multiscale
- training set
- machine learning
- graph cuts
- multiple instance learning
- computer vision
- energy function
- markov random field
- level set method
- reinforcement learning
- training data
- method for image segmentation
- active contours
- shape prior
- region growing
- image segmentation algorithm
- hierarchical model
- texture segmentation
- medical imaging
- probabilistic relaxation
- markov random field model
- labeled data
- level set
- unsupervised segmentation
- multilevel thresholding
- low level image segmentation
- energy functional
- statistical learning
- learning tasks
- class labels
- training examples
- unlabeled data
- higher order
- image analysis