Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Automatic 3D Shape Reconstruction of Bones Using Active Nets Based Segmentation
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Global Optimization of Deformable Surface Meshes Based on Genetic Algorithms
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Genetic approaches for topological active nets optimization
Pattern Recognition
Localisation of the optic disc by means of GA-optimised Topological Active Nets
Image and Vision Computing
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
Topological Active Models optimization with Differential Evolution
Expert Systems with Applications: An International Journal
Multiobjective differential evolution in the optimization of topological active models
Applied Soft Computing
Extended Topological Active Nets
Image and Vision Computing
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In this work we used the evolutionary multiobjective optimization methodology for the optimization of Topological Active Nets. This is a deformable model that integrates features of region-based and boundary-based segmentation techniques. The model deformation is controlled by energy functions that must be minimized. When the minimization task is performed by means of a greedy local search or a global search method, an experimental tuning of the energy parameters is needed to obtain a correct segmentation. This tuning must be done for each kind of image. Evolutionary multiobjective optimization gives a solution to this problem by considering the optimization of several objectives in parallel. We used the SPEA2 algorithm, adapted to our application, to the search of the Pareto optimal individuals. We tested the improvements and problems between the uses of the multiobjective optimization technique versus the use of a genetic algorithm and a greedy local search in our application of the optimization of the Topological Active Nets deformable model. We used several representative examples with images from different medical domains.