A survey of image registration techniques
ACM Computing Surveys (CSUR)
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic retinal image registration scheme using global optimization techniques
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine
Likelihood maximization approach to image registration
IEEE Transactions on Image Processing
High Performance Adaptive Fidelity Algorithms for Multi-Modality Optic Nerve Head Image Fusion
Journal of Signal Processing Systems
Computers in Biology and Medicine
Identification of anatomic retinal structures for macular delineation in fluorescein angiograms
Integrated Computer-Aided Engineering
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In the registration of temporal and stereo retinal images, the rotation angle is normally less than 5^o and the scaling factor is between 0.95 and 1.05. Due to sitting constraints in the imaging process, the x translation can be more than 100pixels, but the y translation is usually small. This paper successfully incorporates these constraints in the mutual information-based registration and exploits a constrained optimization to seek an optimal registration. The proposed approach increases the success rate of the registration algorithm significantly. The impacts of the dynamic ranges of registration parameters on the registration outcome are studied and the effects of the order of rotation, scaling, and translation are also investigated.