Uncertainty Quantification in Image Segmentation Using the Ambrosio-Tortorelli Approximation of the Mumford-Shah Energy.
Michael HintermüllerSteven-Marian StenglThomas M. SurowiecPublished in: J. Math. Imaging Vis. (2021)
Keyphrases
- mumford shah
- ambrosio tortorelli
- image segmentation
- piecewise constant
- mumford shah model
- mumford shah functional
- energy minimization
- curve evolution
- piecewise smooth
- level set method
- level set
- bayesian estimation
- energy functional
- variational framework
- total variation
- graph cuts
- shape prior
- active contours
- image deblurring
- discrete optimization
- edge preserving
- multiscale
- region growing
- energy function
- vector valued
- active contour model
- computer vision
- gray level
- markov random field
- segmentation method
- segmentation algorithm
- image processing