Buch, Englisch, 347 Seiten, Book, Format (B × H): 164 mm x 246 mm, Gewicht: 7475 g
Imaging, Systems, Image Databases, and Algorithms
Buch, Englisch, 347 Seiten, Book, Format (B × H): 164 mm x 246 mm, Gewicht: 7475 g
ISBN: 978-3-319-20746-9
Verlag: Springer-Verlag GmbH
This accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray testing. Features: introduces the mathematical background for monocular and multiple view geometry; describes the main techniques for image processing used in X-ray testing; presents a range of different representations for X-ray images, explaining how these enable new features to be extracted from the original image; examines a range of known X-ray image classifiers and classification strategies; discusses some basic concepts for the simulation of X-ray images and presents simple geometric and imaging models that can be used in the simulation; reviews a variety of applications for X-ray testing, from industrial inspection and baggage screening to the quality control of natural products; provides supporting material at an associated website, including a database of X-ray images and a Matlab toolbox for use with the book’s many examples.
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
X-ray Testing
Images for X-ray Testing
Geometry in X-ray Testing
X-ray Image Processing
X-ray Image Representation
Classification in X-ray Testing
Simulation in X-ray Testing
Applications in X-ray Testing
Appendix A: GDXray Details
Appendix B: XVIS Toolbox - Quick Reference