A multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity.
Hai MinLi XiaJunwei HanXiaofeng WangQianqian PanHao FuHongzhi WangStephen T. C. WongHai LiPublished in: Pattern Recognit. (2019)
Keyphrases
- intensity inhomogeneity
- level set
- level set method
- image segmentation
- multiscale
- level set formulation
- active contours
- narrow band
- accurate segmentation
- geodesic active contours
- intensity information
- segmentation method
- mr images
- model based segmentation
- level set framework
- segmentation algorithm
- segmentation result
- shape prior
- image features
- curve evolution
- image regions
- partial differential equations
- magnetic resonance
- image analysis
- edge detection
- piecewise constant
- brain mr images
- level set functions
- energy functional
- image intensity
- feature vectors
- mumford shah functional
- image data
- input image
- image registration
- intensity distribution
- quantitative evaluation
- active contour model
- object recognition
- image processing
- pixel intensities
- medical imaging
- scale space
- medical images