Format:
Online-Ressource (XIII, 305 p)
,
digital
Edition:
Springer eBook Collection. Computer Science
ISBN:
9789401597876
Series Statement:
Computational Imaging and Vision 21
Content:
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
Additional Edition:
ISBN 9789048156306
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9789048156306
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9780792367512
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9789401597883
Language:
English
DOI:
10.1007/978-94-015-9787-6
URL:
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