Parameter tuning of CLAHE based on multi-objective optimization to achieve different contrast levels in medical images.
Luis G. MoréMarcos A. BrizuelaHoracio Legal AyalaDiego P. Pinto-RoaJose Luis Vazquez NogueraPublished in: ICIP (2015)
Keyphrases
- medical images
- multi objective optimization
- parameter tuning
- multi objective
- evolutionary algorithm
- medical imaging
- mr images
- anatomical structures
- ink bleed
- medical image analysis
- medical data
- medical image segmentation
- differential evolution
- magnetic resonance
- deformable models
- computer aided diagnosis
- multiple objectives
- magnetic resonance imaging
- magnetic resonance images
- multi objective optimization problems
- imaging modalities
- image intensity
- ct images
- region of interest
- medical diagnosis
- segmentation of medical images
- parameter settings
- genetic algorithm
- brain images
- biomedical images
- bi objective
- clinical practice
- multi modality
- medical image retrieval
- computed tomography
- adaptive histogram equalization
- pareto optimal
- multi objective genetic algorithm
- multi objective genetic algorithms
- x ray images
- pareto optimal set
- complex optimization problems
- machine learning
- remote sensing
- clinical applications
- nsga ii
- simulated annealing
- optimization problems
- multi objective evolutionary algorithms
- image analysis
- model selection