Information-Theoretic Segmentation by Inpainting Error Maximization.
Pedro SavareseSunnie S. Y. KimMichael MaireGreg ShakhnarovichDavid McAllesterPublished in: CoRR (2020)
Keyphrases
- information theoretic
- minimum description length
- mutual information
- information theory
- theoretic framework
- level set
- min cut
- medical images
- segmentation algorithm
- jensen shannon divergence
- image segmentation
- information bottleneck
- computational learning theory
- log likelihood
- relative entropy
- segmentation method
- objective function
- information theoretic measures
- edge detection
- denoising
- kullback leibler divergence
- entropy measure
- similarity measure
- jensen shannon
- multi modality
- shape prior
- gaussian mixture model
- graph cuts
- pattern recognition