From Explanations to Segmentation: Using Explainable AI for Image Segmentation.
Clemens SeiboldJohannes KünzelAnna HilsmannPeter EisertPublished in: VISIGRAPP (4: VISAPP) (2022)
Keyphrases
- image segmentation
- segmentation algorithm
- level set
- region growing
- shape prior
- segmentation method
- artificial intelligence
- contour detection
- multiscale
- region merging
- unsupervised segmentation
- object segmentation
- joint segmentation
- image segmentation algorithm
- image segmentation algorithms
- active contours
- berkeley segmentation dataset
- segmented images
- texture segmentation
- graph based image segmentation
- graph cuts
- fuzzy connectedness
- segmenting images
- energy function
- mumford shah
- segmentation procedure
- otsu method
- markov random field
- watershed transformation
- model based segmentation
- boundary information
- image processing
- region segmentation
- image analysis
- markov random field models
- method for image segmentation
- level set method
- unsupervised image segmentation
- image segmentations
- adaptive thresholding
- gray level
- segmentation result
- image segmentation methods
- region competition
- expert systems
- normalized cut
- edge detection
- energy functional
- final segmentation
- watershed transform
- geodesic active contours
- vessel segmentation
- medical imaging
- graph partitioning
- deformable models
- markov random field model
- interactive image segmentation
- image parsing
- color image segmentation
- variational framework
- case based reasoning
- fuzzy c means
- fundamental problems in computer vision
- colour image segmentation
- multiphase segmentation
- ground truth
- probabilistic relaxation
- curve evolution
- figure ground