Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation.
Victor Andres AymaPedro Achanccaray DiazRaul Queiroz FeitosaPatrick Nigri HappGilson A. O. P. CostaTobias KlingerChristian HeipkePublished in: IEEE Geosci. Remote. Sens. Lett. (2016)
Keyphrases
- parameter tuning
- multiresolution
- ink bleed
- texture segmentation
- segmentation method
- low depth of field
- image segmentation
- parameter settings
- level set
- segmentation of textured images
- fully unsupervised
- medical images
- segmentation algorithm
- metaheuristic
- wavelet transform
- genetic algorithm
- object segmentation
- supervised learning
- particle swarm optimization
- feature selection
- semi supervised
- image fusion
- shape prior
- edge detection
- unsupervised learning
- region growing
- higher order
- optimization problems
- image analysis
- search algorithm
- multiscale
- image processing
- maximum likelihood
- neural network