Many tasks in medical image analysis require the fusion of two images, for example to combine information provided by different image acquisition devices or monitor disease progression over time. Image registration is the process of aligning two images, such that corresponding points can be related. For this purpose, one image is deformed to match the other one. Rigid registration techniques tr...

Image registration is the process of determining correspondence between all points in two images of the same scene. Image analysis applications that involve two or more images of a scene often require registration of the images. Nonrigid image registration refers to a class of methods where the images to be registered have nonlinear geometric differences. Image registration has a long history. ...

Image registration is a fundamental task in computer vision because it can significantly contribute to high-level computer vision and benefit numerous practical applications. Though a lot of image registration techniques exist in literature, there is still a significant amount of research to be conducted because there are a lot of issues that need to be solved such as the parallax problem. The ...

Cores provide a means for describing fundamental properties of objects in greyscale images including object position and width, and object-subfigure relationships. In this paper, we demonstrate several methods for registering two-dimensional and three-dimensional greyscale, medical images using object information summarized by the core.

A natural requirement in pairwise image registration is that the resulting deformation is independent of the order of the images. This constraint is typically achieved via a symmetric cost function and has been shown to reduce the effects of local optima. Consequently, symmetric registration has been successfully applied to pairwise image registration as well as the spatial alignment of individ...

We introduce and discuss preliminary experience with an application that has vast potential to exploit the Grid for social benefit and offers interesting resource assessment and allocation challenges, having real-time aspects: image registration. Image registration is generally formulated as an optimization problem that satisfies constraints, such as coordinate displacements that are affine or ...

Image registration is a fundamental enabling technology in computer vision. Developing an accurate image registration algorithm will significantly improve the techniques for computer vision problems such as tracking, fusion, change detection, autonomous navigation. In this paper, our goal is to develop an algorithm that is robust, automatic, can perform multi-modality registration, reduces the ...

Multi-sensor image registration is very important in the space image proceedings for its huge applying value. However, there are some difficulties from anisotropic multi-source spatial data. To consider the multi-resolution visual features in the image registration, we take the multi-resolution decomposition based on wavelet to direct the registration from the rough to the subtle, and then coll...

Radiological images are increasingly being used in healthcare and medical research. There is, consequently, widespread interest in accurately relating information in the different images for diagnosis, treatment and basic science. This article reviews registration techniques used to solve this problem, and describes the wide variety of applications to which these techniques are applied. Applica...