A survey of image registration techniques (original) (raw)

2011

In image processing, for example, when combining the information content of image, we are interested in the relationship between two or more images. The analysis of this relationship usually becomes tractable once a correspondence is set up between the images. Image registration is the task of setting up this correspondence. This paper overviews the theoretical aspects of an image registration problem. The purpose of this paper is to present a survey of image registration techniques. Registration is a fundamental task in image processing used to match two or more pictures taken, for example, at different times, from different sensors, or from different viewpoints. It geometrically aligns two images the reference and sensed images. Specific examples of systems where image registration is a significant component include matching a target with a real-time image of a scene. Various applications of image registration are target recognition, monitoring global land usage using satellite im...

U Bhosle, A survey of image registration

1992

Image Registration Techniques and Its Applications: A Review

—The matter of Image Registration has become one of the most i mportant Electronic and Digital processing applications in the l ast few decades. In i mage processing, when combining the information content of image, we are interested in the relati onshi p between two or more i mages. The examinati on of this relati onshi p generally becomes tractable once a correspondence is set up between the i mages. Image Registration is the methodology of adjusting two or more i mage of the same scene taken from di fferent viewpoints, at different ti mes, from differentsensors.The result of i mage registration is a new registered i mage which is more plentiful for human being and machine discernment for further image-processing tasks like segmentation, feature taking out and objects recognition. In this paper we have discussed and analysed some popular method like Log pol ar techni que (LPT), Wavelets techni que, Mutual Information (MI) and Affine transformati on and also discussed Image Registration applications.

Image Registration Methods

international journal of chemical sciences, 2016

Image registration, an important preprocess in image fusion, is the process of geometrically aligning two or more images. The image registration can be applied for fusion of medical images, satellite images or images obtained by different sensors at the same time or by same sensor at different times. Image registration involves selection of a control point, which can be done manually or automatically. Manual selection of control point, though simple, is time consuming and can be inaccurate. Automatic image registration does not involve human intervention and many algorithms are available in the literature. Though one algorithm cannot be applied to all applications, algorithms should not be very much application specific. In this paper we study different methods for image registration of different types of images.

Image Registration: A Review

Image registration is a fundamental task in remote sensing image processing that is used to match two or more images taken, for example, at different times, from different sensors or from different viewpoints. A lot of automation has been achieved in this field but ever sprouting data quality and characteristics compel innovators to design new and/or improve existing registration techniques. In this paper, image registration methodologies are broadly classified into intensity and feature based approaches and analyzed critically.

Image Registration Techniques and Frameworks

Applied Video Processing in Surveillance and Monitoring Systems

Image registration allude to transforming one image with reference to another (geometrically alignment of reference and sensed images) i.e. the process of overlaying images of the same scene, seized by assorted sensors, from different viewpoints at variant time. Virtually all large image evaluating or mining systems require image registration, as an intermediate step. Over the years, a broad range of techniques has been flourished for various types of data and problems. These approaches are classified according to their nature mainly as area-based and feature-based and on four basic tread of image registration procedure namely feature detection, feature matching, mapping function design, and image transformation and resampling. The current chapter highlights the cogitation effect of four different registration techniques, namely Affine transformation based registration, Rigid transformation based registration, B-splines registration, and Demons registration. It provides a comparativ...

Image Registration Techniques: An overview

Image registration is a vital problem in medical imaging. It has many potential applications in clinical diagnosis (Diagnosis of cardiac, retinal, pelvic, renal, abdomen, liver, tissue etc disorders). It is a process of aligning two images into a common coordinate system thus aligning them in order to monitor subtle changes between the two. Registration algorithms compute transformations to set correspondence between the two images the purpose of this paper is to provide a comprehensive review of the existing literature available on Image registration methods. We believe that it will be a useful document for researchers longing to implement alternative Image registration methods for specific applications.

A survey of image registration techniques (original) (raw)

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