Generating Smooth Interpretability Map for Explainable Image Segmentation.
Takaya OkamotoChunzhi GuJun YuChao ZhangPublished in: GCCE (2023)
Keyphrases
- image segmentation
- multiscale
- graph cuts
- segmentation algorithm
- prediction accuracy
- markov random field
- level set
- contour detection
- unsupervised image segmentation
- rule base
- automatically generating
- maximum a posteriori
- gray level
- active contours
- region boundaries
- computer vision
- image segmentation algorithm
- graph partitioning
- level set method
- fuzzy c means
- deformable models
- segmentation method
- energy functional
- boundary detection
- segmented images
- perceptual grouping
- piecewise constant
- region segmentation
- partial differential equations
- figure ground
- data sets
- markov random field model