Image Registration Techniques: A Survey

TL;DR

This survey comprehensively reviews various image registration techniques, their classifications, applications, and performance measures, highlighting current challenges and future research directions in the field.

Contribution

It provides a detailed classification and analysis of existing image registration methods, including their advantages, limitations, and potential areas for future improvement.

Findings

Various registration approaches are classified and compared.

Performance measures for registration quality are discussed.

Future research directions are outlined.

Abstract

Image Registration is the process of aligning two or more images of the same scene with reference to a particular image. The images are captured from various sensors at different times and at multiple view-points. Thus to get a better picture of any change of a scene or object over a considerable period of time image registration is important. Image registration finds application in medical sciences, remote sensing and in computer vision. This paper presents a detailed review of several approaches which are classified accordingly along with their contributions and drawbacks. The main steps of an image registration procedure are also discussed. Different performance measures are presented that determine the registration quality and accuracy. The scope for the future research are presented as well.