A Bayesian multiple-hypothesis approach to edge grouping and contour segmentation.
Ingemar J. CoxJames M. RehgSunita L. HingoraniPublished in: Int. J. Comput. Vis. (1993)
Keyphrases
- multiple hypothesis
- contour grouping
- perceptual grouping
- geodesic active contours
- contour detection
- boundary extraction
- edge detection
- object contours
- image segmentation
- active contours
- edge linking
- image gradient
- perceptual organization
- closed contours
- level set
- gestalt laws
- multiple scales
- edge strength
- segmentation algorithm
- minimum description length
- gradient information
- contour extraction
- gradient vector flow
- segmented images
- edge map
- contour fragments
- particle filter
- region boundaries
- intermediate level vision
- active contour model
- image edges
- multiscale
- medical images
- maximum likelihood
- ellipse fitting
- multiscale segmentation
- region growing
- grouping algorithm
- gray value
- deformable contour
- weighted graph
- level set evolution
- shape constraints
- curve evolution
- normalized cut
- segmentation method
- graph cuts
- force field
- tensor voting
- seed points