Information-Theoretic Segmentation by Inpainting Error Maximization.
Pedro SavareseSunnie S. Y. KimMichael MaireGreg ShakhnarovichDavid McAllesterPublished in: CVPR (2021)
Keyphrases
- information theoretic
- minimum description length
- information theory
- mutual information
- theoretic framework
- level set
- min cut
- information bottleneck
- segmentation algorithm
- information theoretic measures
- kullback leibler divergence
- medical images
- energy function
- log likelihood
- image analysis
- image segmentation
- multi modality
- entropy measure
- jensen shannon divergence
- relative entropy
- shape prior
- computational learning theory
- edge detection
- denoising
- medical imaging
- graph cuts
- probabilistic model