A Novel Coarse-to-Fine Sea-Land Segmentation Technique Based on Superpixel Fuzzy C-Means Clustering and Modified Chan-Vese Model.
Eman ElkhateebHassan SolimanAhmed AtwanMohammed ElmogyKyung-Sup KwakNagham E. MekkyPublished in: IEEE Access (2021)
Keyphrases
- coarse to fine
- fuzzy c means clustering
- image segmentation algorithm
- multiscale
- image segmentation
- deformable surface model
- chan vese model
- superpixels
- segmentation algorithm
- chan vese
- multiresolution
- level set
- shape prior
- region growing
- fuzzy c means
- object detection
- segmented images
- image registration
- active shape model
- level set method
- object segmentation
- mean shift
- dynamic programming
- segmentation method
- image regions
- clustering method
- image processing
- image analysis
- medical images
- curve evolution
- graph cuts
- shape model
- automatic segmentation
- energy function
- active contours
- clustering algorithm