Functional data registration is a necessary processing step for many applications. The observed can be inherently noisy, often due to measurement error or natural process uncertainty; which most functional alignment methods cannot handle. A pair of functions also have multiple optimal solutions, not addressed in current literature. In this paper, flexible Bayesian approach presented, appropriat...

Among the existing registration methods, most feature descriptors are designed with image intensity, gradient information and phase congruency (PC). However, both intensity sensitive to illumination changes, complex differences, noise, etc. Despite fact that PC is invariant contrast, it does not perform well when images corrupted noise nonlinear radiation distortions. In this article, we propos...

Feature selection is the fundamental step in image registration. Various tasks such as feature extraction, detection are based on feature based approach. In the current paper we are going to discuss about our technique that is hybrid of Local affine and thin plate spline. An automatic edge detection method to achieve the correct edge map is put forward to dealing with image registration with af...