A novel region-based active contour model based on kernel function for image segmentation.
Jin LiuShengnan SunYue ChenPublished in: Multim. Tools Appl. (2019)
Keyphrases
- kernel function
- image segmentation
- active contours
- region based active contours
- level set
- shape prior
- kernel methods
- support vector
- support vector machine
- feature space
- input space
- level set method
- narrow band
- graph cuts
- high dimensional feature space
- kernel matrix
- kernel learning
- gaussian kernels
- image processing
- high dimensional
- feature set
- medical imaging
- multiscale
- image analysis
- reproducing kernel hilbert space
- segmentation method
- deformable models
- shape analysis
- kernel parameters
- partial differential equations
- polynomial kernels
- machine learning
- image restoration
- active contour model
- markov random field
- energy function
- curve evolution
- training data