Use of Ant Colony Optimization for Finding Neighborhoods in Image Non-stationary Markov Random Field Classification.
Sylvie Le Hégarat-MascleAbdelaziz KallelXavier DescombesPublished in: PReMI (2007)
Keyphrases
- non stationary
- markov random field
- random fields
- ant colony optimization
- mrf model
- neighboring pixels
- image segmentation
- prior model
- energy function
- mrf models
- metaheuristic
- ant colony
- swarm intelligence
- map estimation
- textured images
- maximum a posteriori
- graph cuts
- higher order
- particle swarm optimization
- input image
- traveling salesman problem
- maximum a posterior
- parameter estimation
- ant colonies
- autoregressive
- potential functions
- label field
- pairwise
- maximum a posteriori probability
- machine learning
- conditional random fields
- smoothness prior
- mrf optimization
- pixel values
- image restoration
- image quality
- feature extraction
- bayesian framework
- maximum likelihood
- aco algorithm
- multi objective
- search space
- multiscale
- aco algorithms
- similarity measure
- image processing
- genetic algorithm