An unsupervised approach of colonic polyp segmentation using adaptive markov random fields.
Pradipta SasmalManas Kamal BhuyanSoumayan DuttaYuji IwahoriPublished in: Pattern Recognit. Lett. (2022)
Keyphrases
- markov random field
- energy function
- image segmentation
- mrf model
- polyp detection
- textured images
- low level vision
- iterated conditional modes
- label field
- mrf models
- graph cuts
- belief propagation
- scene labeling
- energy minimization
- prior model
- higher order
- parameter estimation
- random fields
- markov random field model
- pairwise
- image restoration
- segmentation algorithm
- conditional random fields
- maximum a posteriori
- unsupervised segmentation
- min cut
- shape prior
- level set
- ct colonography
- map estimation
- computer aided detection
- texture segmentation
- segmentation method
- discriminative random fields
- piecewise constant functions
- potential functions
- multiscale
- loopy belief propagation
- semantic segmentation
- map inference
- color images
- image analysis
- image labeling
- labeling problems
- markov networks
- active contours
- denoising
- iterative conditional
- gibbs energy
- computer vision