Image registration. Principles, tools and methods.
type: Item
instance of: scholarly article
title: Image registration. Principles, tools and methods.
zbMATH Open document ID: 1243.68006
DOI: 10.1007/978-1-4471-2458-0
author: A. Ardeshir Goshtasby
published in: Advances in Computer Vision and Pattern Recognition
publication date: 2012-01-31T00:00:00Z
review text: Image registration is the process of finding correspondence between all points in two images of a scene. That is one of the main issues in the application of image processing. This book aims to describe principles, tools and methods in image registration. The author reviews past tools and methods and compares their performances. New tools and methods are introduced and evaluated. The book covers the fundamentals of digital image registration but it does not discuss applications of image registration nor does it discuss characteristics of various types of images. The book is organized into 11 chapters. Chapter 1 is a general introduction to registration of images. It also describes some typical examples of image registration and it ends with a brief history of the subject. Chapter 2 gives an extensive and rigorous definition of several similarity and non-similarity measures. In addition to reviewing classical measures, four new measures are introduced. The discrimination powers of the measures are determined using synthetic and real images, and their sensitivity to noise and image blurring as well as to intensity and geometric differences between images are determined and compared. Chapter 3 is titled ``Point detectors''. Feature points in an image carry critical information about scene structure. In image registration, knowledge of corresponding points in two images is required to spatially align the images. Point detectors appeared in the literature are reviewed. A number of new point detectors is also introduced. The performance of the used detectors under noise and intensity and geometric changes is determined and compared. Finally, a guide to the selection of detectors is provided. Chapter 4 covers topics related to feature extraction. Several image features (122) are reviewed, categorized, and evaluated. Invariance and repeatability properties of that features are tested under image blurring, noise and changes in intensity and geometry. Chapter 5 deals with ima…
Mathematics Subject Classification ID: 68-02
Mathematics Subject Classification ID: 68T45
Mathematics Subject Classification ID: 68U10
Mathematics Subject Classification ID: 62H35
zbMATH DE Number: 6002686
zbMATH Keywords: image processing
zbMATH Keywords: image registration
reviewed by: Oscar Bustos
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-1-4471-2458-0
OpenAlex ID: W4251354162
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description: scientific article; zbMATH DE number 6002686