Dynamic Programming Using Polar Variance for Image Segmentation.
Jose A. Rosado-ToroMaria I. AltbachJeffrey J. RodriguezPublished in: IEEE Trans. Image Process. (2016)
Keyphrases
- dynamic programming
- image segmentation
- boundary detection
- graph cuts
- fourier transform
- greedy algorithm
- level set method
- region growing
- gray level
- markov random field
- method for image segmentation
- level set
- linear programming
- unsupervised image segmentation
- image processing
- rotation invariant
- computer vision
- deformable models
- frequency domain
- segmentation method
- active contours
- optimal policy
- markov random field model
- standard deviation
- optimal control
- state space
- variational level set
- multiscale
- dynamic programming algorithms
- contour detection
- reinforcement learning
- image analysis
- energy functional
- single machine
- texture segmentation
- segmented images
- normalized cut
- fuzzy c means
- medical images
- probabilistic relaxation
- spectral clustering
- segmenting images
- learning algorithm
- multilevel thresholding
- dp matching
- stereo matching