Image Registration Methods: A Short Review

Abstract

The purpose of this paper is to provide a review of classic as well as recent image registration methods. Image registration method aims to align two or more images of the same scene taken at different times, with different instruments, from different viewpoints. In this process two images (the reference and sensed images) are geometrically aligned. The reviewed approaches are classified according to four basic steps of the image registration procedure: feature detection, control points matching, a design of the mapping function, and image transformation and according to their nature (area based and feature-based). The paper also has an objective to provide a comprehensive study of different image registration methods, regardless of particular application areas.

Registration methods in radiotherapy

“…They rely on mathematical transformations, such as rotation and translation along each axis of the Cartesian coordinate system, as well as scaling and shearing of an image projected onto a reference. [12][13][14] Simple rigid registration uses the first two of the above transformations, while complex rigid transformation also involves scaling and shearing. Fig.…”

A New Optimization Approach Using Smoothed Images Based on ACO for Medical Image Registration

“…It can be used in medical applications to match images of same patient acquired over a period of time. Fig.1 represents the steps involved in a image registration process [6].…”