Image Segmentation & the use of Genetic Algorithms for Optimising Parameters and Algorithm choice.
Paul G. DucksburyPublished in: NMBIA (1998)
Keyphrases
- expectation maximization
- genetic algorithm
- detection algorithm
- image segmentation
- learning algorithm
- input data
- preprocessing
- worst case
- computational complexity
- np hard
- matching algorithm
- segmentation algorithm
- cost function
- k means
- objective function
- artificial neural networks
- computational cost
- optimal solution
- parameter tuning
- optimization algorithm
- simulated annealing
- particle swarm optimization
- neural network
- similarity measure
- hybrid algorithm
- computer vision
- parameter space
- levenberg marquardt
- image segmentation algorithm
- segmentation method
- energy function
- tabu search
- parameter estimation
- markov random field
- search space
- multiscale