Otsu thresholding segmentation algorithm based on Markov Random Field.
Qian WangHua ZhangQi DongQingxiao NiuGuangping XuYanbing XuePublished in: ICNC (2011)
Keyphrases
- segmentation algorithm
- markov random field
- image segmentation
- graph cuts
- energy minimization
- thresholding method
- thresholding algorithm
- gray level
- automatic segmentation
- energy function
- belief propagation
- mrf model
- region growing
- parameter estimation
- segmentation method
- unsupervised segmentation
- object segmentation
- higher order
- random fields
- conditional random fields
- image restoration
- superpixels
- motion detection
- computer vision
- image processing
- potential functions
- multiscale
- maximum a posteriori
- homogeneous regions
- shape prior
- texture segmentation
- active contours
- deformable models
- loopy belief propagation
- image segmentation algorithm
- segmented images
- input image
- textured images
- interactive segmentation
- denoising
- edge detection
- segmentation result
- edge information
- pairwise
- level set
- generative model