Image Segmentation Using Active Contours Driven by Bias Fitted Image Robust to Intensity Inhomogeneity.
Farhan AkramMiguel Ángel GarcíaVivek Kumar SinghNasibeh SaffariMd. Mostafa Kamal SarkerDomenec PuigPublished in: CCIA (2017)
Keyphrases
- active contours
- image segmentation
- level set
- intensity inhomogeneity
- segmentation method
- energy functional
- level set method
- energy function
- active contour model
- geodesic active contours
- image segmentation methods
- object boundaries
- gradient vector flow
- shape prior
- model based segmentation
- intensity information
- multiscale
- image segmentation algorithm
- image analysis
- curve evolution
- image data
- region growing
- input image
- segmentation result
- medical imaging
- gray level
- segmentation algorithm
- graph cuts
- markov random field
- mr images
- image intensity
- image features
- computer vision
- variational framework
- level set functions
- piecewise constant
- superpixels
- energy minimization
- deformable models
- image processing
- image gradient
- object segmentation
- light source
- variational formulation
- single image
- external force
- image registration