[FIRST EDITION] 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.
Produkteigenschaften
- Artikelnummer: 9783030567712
- Medium: Buch
- ISBN: 978-3-030-56771-2
- Verlag: Springer International Publishing
- Erscheinungstermin: 23.12.2021
- Sprache(n): Englisch
- Auflage: 2. Auflage 2021
- Produktform: Kartoniert, Paperback
- Gewicht: 727 g
- Seiten: 456
- Format (B x H x T): 155 x 235 x 27 mm
- Ausgabetyp: Kein, Unbekannt
