Landmark-Based Image Analysis: Using Geometric and Intensity Models
Author:   Karl Rohr
Publisher:   Springer
Edition:   Softcover reprint of hardcover 1st ed. 2001
Volume:   21
ISBN:  

9789048156306


Pages:   306
Publication Date:   15 December 2010
Format:   Paperback
Availability:   Out of stock   Availability explained
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Landmark-Based Image Analysis: Using Geometric and Intensity Models


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Overview

This is the first comprehensive treatment of the extraction of landmarks from multimodality images and the use of these features for elastic image registration. The emphasis is on model-based approaches, i.e. on the use of explicitly represented knowledge in computer vision. Both geometric models (describing the shape of objects) and intensity models (directly representing the image intensities) are utilized. The work describes theoretical foundations, computational and algorithmic issues, as well as practical applications, notably in medicine (neurosurgery and radiology), remote sensing, and industrial automation. Connections with computer graphics and artificial intelligence are illustrated. Audience: This volume will be of interest to readers seeking an introduction and overview of landmark-based image analysis, and in particular to graduate students and researchers in computer science, engineering, computer vision, and medical image analysis.

Full Product Details

Author:   Karl Rohr
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of hardcover 1st ed. 2001
Volume:   21
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.553kg
ISBN:  

9789048156306


ISBN 10:   9048156300
Pages:   306
Publication Date:   15 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Preface. 1. Introduction and Overview. 2. Detection and Localization of Point Landmarks. 3. Performance Characterization of Landmark Operators. 4. Elastic Registration of Multimodality Images. Bibliography. Index.

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