On the convergence of EM-like algorithms for image segmentation using Markov random fields.
Alexis RocheDelphine RibesMeritxell Bach CuadraGunnar KrügerPublished in: Medical Image Anal. (2011)
Keyphrases
- image segmentation
- theoretical analysis
- stochastic approximation
- multiscale
- multilevel thresholding
- gray level
- machine learning algorithms
- worst case
- significant improvement
- computational complexity
- image processing
- learning algorithm
- gradient ascent
- image segmentation algorithms
- times faster
- orders of magnitude
- rapid convergence
- expectation maximization
- generative model
- graph cuts
- data mining
- maximum likelihood
- data mining techniques
- computational cost
- computer vision
- genetic algorithm