High-dimensional multi-level maximum variance threshold selection for image segmentation: a benchmark of recent population-based metaheuristic algorithms.
Seyed Jalaleddin MousaviradGerald SchaeferZahra MovahediIakov KorovinPublished in: GECCO Companion (2020)
Keyphrases
- threshold selection
- maximum variance
- high dimensional
- image segmentation
- metaheuristic algorithms
- ant colony optimization
- metaheuristic
- simulated annealing
- dimensionality reduction
- markov random field
- low dimensional
- principal axis
- computer vision
- variable selection
- feature space
- search algorithm
- graph cuts
- nearest neighbor
- energy function
- data points
- differential evolution
- principal components
- multi objective
- image processing