Besides stating the problem of image registration this chapter is built on the following parts : 1) Similarity estimation by level sets. We use the Fast Level Sets Transform (see the chapter on TV minimization) to extract reliable features from both images. To each feature we associate similarity invariants, then we consider pairs of features (F1, F2), where F1 is in image 1 and F2 in image 2, ...

Although, most of the abnormal structures of human brain do not alter the shape of outer envelope of brain (surface), some abnormalities can deform the surface extensively. However, this may be a major problem in a surface-based registration technique, since two nearly identical surfaces are required for surface fitting process. A type of verification known as the circularity check for th...

This document discusses the process of image registration. The definition is provided and application areas mentioned. Image registration process is viewed through four main components of most image registration methods, i.e. selected feature space, transformation model, similarity metric and search strategy. A broad overview of possible solutions is presented for each of the components. Implem...