[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.
Epub (Kobo), Epub (Adobe)
Publication Date: 23/12/2020
- ISBN:
- 9783030567699
- 9783030567699
- Category:
- Artificial intelligence
- Format:
- Epub (Kobo), Epub (Adobe)
- Publication Date:
- 23-12-2020
- Language:
- English
- Publisher:
- Springer International Publishing
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