Mutual Information Measure for Image Segmentation Using Few Labels.
Eduardo Hugo SanchezMathieu SerrurierMathias OrtnerPublished in: ECML/PKDD (4) (2020)
Keyphrases
- mutual information
- criterion function
- image segmentation
- similarity measure
- information theoretic measures
- information theoretic
- information content
- kullback leibler divergence
- image registration
- feature selection
- information theory
- distance measure
- image labeling
- graph cuts
- image processing
- computer vision
- boundary detection
- segmented images
- medical image registration
- markov random field
- shannon entropy
- image analysis
- multimodal image registration
- method for image segmentation
- graph partitioning
- machine learning
- conditional mutual information
- information theoretic criterion
- information gain
- region growing
- deformable models
- energy function
- segmentation algorithm
- training data
- medical imaging
- selection criterion
- contour detection
- class labels
- normalized cross correlation
- training examples
- active contours
- level set
- decision trees
- data sets