Umfang:
Online-Ressource (XIII, 305 p)
,
digital
Ausgabe:
Springer eBook Collection. Computer Science
ISBN:
9789401597876
Serie:
Computational Imaging and Vision 21
Inhalt:
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
Weitere Ausg.:
ISBN 9789048156306
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe ISBN 9789048156306
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe ISBN 9780792367512
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe ISBN 9789401597883
Sprache:
Englisch
DOI:
10.1007/978-94-015-9787-6
URL:
Volltext
(lizenzpflichtig)
Bookmarklink
