Image segmentation based on an active contour model of partial image restoration with local cosine fitting energy.
Jiaqing MiaoTing-Zhu HuangXiaobing ZhouYugang WangJun LiuPublished in: Inf. Sci. (2018)
Keyphrases
- image restoration
- image segmentation
- markov random field
- energy minimization
- active contour model
- markov random field models
- image processing
- graph cuts
- total variation
- energy function
- edge preserving
- parameter estimation
- object boundaries
- active contours
- curve evolution
- mrf model
- multiscale
- gray level
- image deblurring
- blurred images
- wiener filter
- shape prior
- regularization parameter
- motion blur
- random fields
- regularization method
- blind image restoration
- iterative image restoration
- higher order
- image analysis
- super resolution
- least squares
- blur identification
- image deconvolution
- unsupervised image segmentation
- segmentation method
- deformable models
- modified hopfield neural network
- point spread function
- segmentation algorithm
- gaussian noise
- image restoration problems
- restoration algorithm
- degraded images
- adaptive neighborhood
- pairwise
- energy functional
- level set
- region growing
- level set method
- computer vision