An Accurate and Efficient Bayesian Method for Automatic Segmentation of Brain MRI
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Registration Assisted Image Smoothing and Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Robust Multimodal Image Registration Using Local Frequency Representations
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Optical Flow and Image Registration: A New Local Rigidity Approach for Global Minimization
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Kernel Fisher for Shape Based Classification in Epilepsy
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Efficient multi-modal image registration using local-frequency maps
Machine Vision and Applications - Special issue: IEEE WACV
Non-rigid registration using distance functions
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Maintaining the point correspondence in the level set framework
Journal of Computational Physics
Algorithmic Differentiation: Application to Variational Problems in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-Rigid Multi-Modal Image Registration Using Cross-Cumulative Residual Entropy
International Journal of Computer Vision
Non-rigid Image Registration with Sα S Filters
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
A method for the transport and registration of images on implicit surfaces
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
A review of atlas-based segmentation for magnetic resonance brain images
Computer Methods and Programs in Biomedicine
A combined segmentation and registration framework with a nonlinear elasticity smoother
Computer Vision and Image Understanding
| Hi-index | 0.00 |
Image registration is an often-encountered problem in various fields including medical imaging, computer vision and image processing. In this paper, we present a novel curve evolution approach expressed in a level-set framework to achieve image registration. The key features of our algorithm are, (a) it can account for small and large deformations, (b) it is very fast (unlike most large deformation schemes) and (c) existence and uniqueness of the solution for the evolution model has been established in a Sobolev space. We demonstrate the implementation results on a variety of images including synthetic and real data.