Landmark-Based Image Analysis
Using Geometric and Intensity Models
by Karl Rohr
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.
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Previews available in: English
| Edition | Availability |
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1
Landmark-Based Image Analysis: Using Geometric and Intensity Models
Dec 22, 2012, Springer
paperback
940159788X 9789401597883
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2
Landmark-Based Image Analysis: Using Geometric and Intensity Models
2001, Springer Netherlands
electronic resource :
in English
9048156300 9789048156306
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