IEEE Transactions on Pattern Analysis and Machine Intelligence
Elements of information theory
Elements of information theory
A computational approach for corner and vertex detection
International Journal of Computer Vision
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Saliency, Scale and Image Description
International Journal of Computer Vision
Numerical Recipes in C: The Art of Scientific Computing
Numerical Recipes in C: The Art of Scientific Computing
Mosaic based representations of video sequences and their applications
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A projection-based extension to phase correlation image alignment
Signal Processing
Fast phase-based registration of multimodal image data
Signal Processing
Saliency-directed image interpolation using particle swarm optimization
Signal Processing
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
Efficient, robust, and fast global motion estimation for video coding
IEEE Transactions on Image Processing
Optimization of mutual information for multiresolution image registration
IEEE Transactions on Image Processing
Pseudopolar-based estimation of large translations, rotations, and scalings in images
IEEE Transactions on Image Processing
Hi-index | 0.00 |
General mutual information- (MI-) based registration methods treat all voxels equally. But each voxel has a different utility depending upon the task. Because of its robustness to noise, low computation time, and agreement with human fixations, the Itti-Koch visual saliency model is used to determine voxel utility of renal perfusion data. The model is able to match identical regions in spite of intensity change due to its close adherence to the center-surround property of the visual cortex. Saliency value is used as a pixel's utility measure in an MI framework for rigid registration of renal perfusion data exhibiting rapid intensity change and noise. We simulated varying degrees of rotation and translation motion under different noise levels, and a novel optimization technique was used for fast and accurate recovery of registration parameters. We also registered real patient data having rotation and translation motion. Our results show that saliency information improves registration accuracy for perfusion images and the Itti-Koch model is a better indicator of visual saliency than scale-space maps.