Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Journal of Global Optimization
Automated 3D Segmentation Using Deformable Models and Fuzzy Affinity
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Modelling Elasticity in Solids Using Active Cubes - Application to Simulated Operations
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Global Optimization of Deformable Surface Meshes Based on Genetic Algorithms
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
EURASIP Journal on Applied Signal Processing
Genetic approaches for topological active nets optimization
Pattern Recognition
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Evolutionary multiobjective optimization of Topological Active Nets
Pattern Recognition Letters
Optimization of Topological Active Models with Multiobjective Evolutionary Algorithms
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Topological Active Volume 3D segmentation model optimized with genetic approaches
Natural Computing: an international journal
Pattern Recognition Letters
Extended Topological Active Nets
Image and Vision Computing
Hi-index | 12.05 |
The Topological Active Model is an active model focused on segmentation tasks. It provides information about the surfaces and the inside of the detected objects in the scene. The segmentation process turns into a minimization task of the energy functions which control the model deformation. In this work we propose a new optimization method of the segmentation model that uses Differential Evolution as an alternative evolutionary method that minimizes the decisions of the designer with respect to others such as genetic algorithms. Moreover, we hybridized Differential Evolution with a greedy search to integrate the advantages of global and local searches at the same time that the segmentation speed is improved. We also included in the local search the possibility of topological changes to perform a better adjustment in complex surfaces, topological changes that introduce the necessary mechanism to divide the mesh in the case of the presence of several objects in the scene.