Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation.
Kehui ZhangLingfeng LiHao LiuJing YuanXue-Cheng TaiPublished in: CoRR (2024)
Keyphrases
- image segmentation
- convolutional neural networks
- shape prior
- energy functional
- level set framework
- variational framework
- multiscale
- perceptual grouping
- active contours
- boundary detection
- prior information
- geodesic active
- image processing
- variational formulation
- level set method
- shape model
- level set
- region growing
- bayesian framework
- graph cuts
- segmentation method
- shape analysis
- shape descriptors
- object segmentation
- segmentation algorithm
- shape representation
- computer vision
- convolutional network
- prior knowledge
- framework for image segmentation
- belief nets
- markov random field
- gray level
- shape matching
- energy function
- energy minimization
- deformable models
- vector field
- variational methods
- optical flow
- expectation maximization
- object boundaries
- maximum a posteriori
- image denoising