Image segmentation using a genetic algorithm and hierarchical local search.
Mark HauschildSanjiv K. BhatiaMartin PelikanPublished in: GECCO (2012)
Keyphrases
- genetic algorithm
- image segmentation
- hybrid ga
- fitness function
- global search
- job shop scheduling problem
- tabu search
- simulated annealing
- neural network
- multiscale
- graph cuts
- region growing
- genetic programming
- genetic operators
- evolutionary algorithm
- fuzzy logic
- method for image segmentation
- energy functional
- genetic search
- deformable models
- differential evolution
- optimization method
- segmentation algorithm
- explore the search space
- level set
- markov random field
- multi objective
- search algorithm
- evolutionary search
- unsupervised image segmentation
- crossover and mutation operators
- boundary detection
- constrained multi objective optimization problems
- multi objective optimization
- object segmentation
- fuzzy c means
- shape prior
- spectral clustering
- metaheuristic
- segmentation method
- image processing
- particle swarm optimization
- active contours
- gray level
- energy function
- genetic algorithm ga
- contour detection
- evolutionary computation
- mutation operator
- memetic algorithm
- crossover operator