Theory and Applications of Image Registration

Image registration is a fundamental process in computer vision and image analysis that aims to align different images or parts of an image into a unified coordinate system. This technique finds widespread applications in various fields, including medical imaging, remote sensing, computer graphics, and robotics. By aligning images, it becomes possible to compare, analyze, and fuse multiple images to extract useful information or create composite images with enhanced details.

Theory of Image Registration

The theory of image registration revolves around finding the spatial transformation between two images that brings them into alignment. This transformation can involve translation, rotation, scaling, shearing, or non-linear deformations. The objective is to map corresponding points or features in both images onto each other.

Theory and Applications of Image Registration

by Jeremiah Brown (1st Edition, Kindle Edition)

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Language	:	English
File size	:	61657 KB
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There are several techniques used in image registration, including intensity-based methods, feature-based methods, and mutual information-based methods. Intensity-based methods optimize the similarity measure between two images based on pixel intensity values. Feature-based methods match distinctive local features, such as corners or edges, between images. Mutual information-based methods maximize the mutual information between the images to find the best alignment.

Applications of Image Registration

Medical Imaging

Image registration plays a crucial role in medical imaging for various tasks, such as tumor detection, image-guided surgery, and patient monitoring. By aligning pre-operative and intra-operative images, surgeons can navigate accurately during surgeries, ensuring minimal invasiveness and improved outcomes. Additionally, image registration enables the comparison of images acquired at different times to monitor disease progression or treatment efficacy.

Remote Sensing

Remote sensing involves capturing images of the Earth's surface from satellites or airborne sensors. Image registration is essential in aligning these images to create mosaics of large areas or monitor changes over time. It enables precise comparison of images taken at different times, revealing land cover changes, urban growth, and natural disasters.

Computer Graphics

Image registration finds applications in computer graphics for various purposes, such as image stitching, panorama creation, and object recognition. By aligning multiple images of a scene, seamless panoramas can be generated. Furthermore, image registration helps in recognizing objects by matching them to reference images or models, enabling augmented reality experiences.

Robotics and Navigation

In robotics, image registration plays a vital role in visual odometry, the process of estimating a robot's motion by analyzing consecutive images. By aligning images taken from different camera positions, robots can compute their 3D motion and navigate autonomously in unknown environments. Image registration also assists in scene mapping and 3D reconstruction using multiple images.

Image registration is a powerful technique that finds applications in various domains. Through its ability to align images and extract valuable information, it has revolutionized fields like medical imaging, remote sensing, computer graphics, and robotics. The theory and advancements in image registration continue to drive innovation and enable new possibilities in understanding and manipulating visual data.

Theory and Applications of Image Registration

by Jeremiah Brown (1st Edition, Kindle Edition)

5 out of 5

Language	:	English
File size	:	61657 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	484 pages
Lending	:	Enabled

FREE

A hands-on guide to image registration theory and methods—with examples of a wide range of real-world applications

Theory and Applications of Image Registration offers comprehensive coverage of feature-based image registration methods. It provides in-depth exploration of an array of fundamental issues, including image orientation detection, similarity measures, feature extraction methods, and elastic transformation functions. Also covered are robust parameter estimation, validation methods, multi-temporal and multi-modality image registration, methods for determining the orientation of an image, methods for identifying locally unique neighborhoods in an image, methods for detecting lines in an image, methods for finding corresponding points and corresponding lines in images, registration of video images to create panoramas, and much more.

Theory and Applications of Image Registration provides readers with a practical guide to the theory and underpinning principles. Throughout the book numerous real-world examples are given, illustrating how image registration can be applied to problems in various fields, including biomedicine, remote sensing, and computer vision. Also provided are software routines to help readers develop their image registration skills. Many of the algorithms described in the book have been implemented, and the software packages are made available to the readers of the book on a companion website. In addition, the book:

• Explores the fundamentals of image registration and provides a comprehensive look at its multi-disciplinary applications
• Reviews real-world applications of image registration in the fields of biomedical imaging, remote sensing, computer vision, and more
• Discusses methods in the registration of long videos in target tracking and 3-D reconstruction
• Addresses key research topics and explores potential solutions to a number of open problems in image registration
• Includes a companion website featuring fully implemented algorithms and image registration software for hands-on learning

Theory and Applications of Image Registration is a valuable resource for researchers and professionals working in industry and government agencies where image registration techniques are routinely employed. It is also an excellent supplementary text for graduate students in computer science, electrical engineering, software engineering, and medical physics.