A unified approach to fast image registration and a new curvature based registration technique

A unified approach to fast image registration and a new curvature based registration technique

Image registration is central to many challenges in medical imaging today. It has a vast range of applications. The purpose of this note is twofold. First, we review some of the most promising non-linear registration strategies currently used in medical imaging. We show that all these techniques may be phrased in terms of a variational problem and allow for a unified treatment. Second, we intro...

A unified approach to FFT based image registration

We present a new unified approach to FFT based image registration. Prior works divided the registration process into two steps: the first was based on phase correlation (PC) which provides pixel accurate registration [7], while the second step provides subpixel registration accuracy [2, 5]. By extending the PC method we derive a FFT based image registration algorithm which is able to estimate l...

Fast image registration – a variational approach

Image registration is central to many challenges in medical imaging and therefore it has a vast range of applications. The purpose of this note is to provide a unified but extremely flexible framework for image registration. This framework is based on a variational formulation of the registration problem. We discuss the framework as well as some of its most important building blocks. These incl...

Contourlet-Based Edge Extraction for Image Registration

Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...

Curvature-based Image Registration: Review and Extensions