A Non-parametric Image Segmentation Algorithm Using an Orthogonal Experimental Design Based Hill-Climbing.
Kual-Zheng LeeWei-Che ChuangShinn-Ying HoPublished in: IDEAL (2003)
Keyphrases
- experimental design
- hill climbing
- image segmentation algorithm
- simulated annealing
- image segmentation
- search space
- region growing
- mean shift
- active learning
- segmented images
- search algorithm
- segmentation algorithm
- genetic algorithm ga
- search procedure
- search strategy
- empirical studies
- superpixels
- sample size
- feature maps
- metaheuristic
- virtual learning environments
- class imbalance
- tabu search
- feature selection
- multiscale
- segmentation method
- learning algorithm
- dimensionality reduction
- ground truth
- evolutionary algorithm
- artificial neural networks
- pairwise
- optimal solution
- mrf model