Hybrid Active Contour Based on Local and Global Statistics Parameterized by Weight Coefficients for Inhomogeneous Image Segmentation.
Asim NiazKaynat RanaAditi JoshiAsad MunirDaeun Dana KimHyun Chul SongKwang Nam ChoiPublished in: IEEE Access (2020)
Keyphrases
- image segmentation
- markov random field
- multiscale
- boundary detection
- linear combination
- image processing
- global information
- graph cuts
- deformable models
- geodesic active
- object segmentation
- shape prior
- region growing
- computer vision
- active contours
- level set
- image analysis
- basis functions
- gray level
- graph partitioning
- maximum likelihood
- hybrid learning
- contour detection
- edge weighted centroidal voronoi