A Markov Random Field Model for Image Segmentation Based on Gestalt Laws.
Yuan RenHuixuan TangHui WeiPublished in: ICONIP (3) (2011)
Keyphrases
- maximum likelihood
- model for image segmentation
- gestalt laws
- multiscale
- perceptual organization
- natural scenes
- active contours
- image segmentation
- natural images
- random fields
- mumford shah
- potential functions
- level set
- computer vision
- perceptual grouping
- tensor voting
- graph partitioning
- total variation
- piecewise constant
- mumford shah functional
- image content
- shape prior
- superpixels
- markov random field
- edge detection
- scale space