A new class of similarity measures for robust image registration
Computer Vision, Graphics, and Image Processing
Similarity measures in computer vision
Pattern Recognition Letters
Ordinal Measures for Image Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of Simularity Measures for use in 2D-3D Medical Image Registration
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Alignment by maximization of mutual information
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Challenges of Image and Video Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
| Hi-index | 0.00 |
A statistical model is developed for the image pair and used to derive a minimum-error hypothesis test for matching. For reasons of tractability a multivariate normal image model and linear dependence between images are assumed. As one would expect, the optimal test out-performs the standard approaches when the assumed model is in force, but the extent of the optimal test's superiority suggests that there is significant potential for improvement on the standard methods of assessing image similarity.