Combining information from thresholding techniques through an evolutionary Bayesian network algorithm.
Diego OlivaMarcella S. R. MartinsValentín Osuna-EncisoErikson Freitas de MoraisPublished in: Appl. Soft Comput. (2020)
Keyphrases
- bayesian networks
- experimental evaluation
- np hard
- probabilistic model
- significant improvement
- learning algorithm
- dynamic programming
- computational complexity
- detection algorithm
- prior information
- k means
- search space
- preprocessing
- worst case
- optimization algorithm
- final result
- objective function
- thresholding algorithm
- high accuracy
- convergence rate
- post processing
- matching algorithm
- gradient information
- thresholding method
- incomplete data
- neural network
- seeded region growing
- segmentation algorithm
- information sources
- graphical models
- wavelet transform
- cost function
- optimal solution
- keywords
- image segmentation
- decision trees