Computer Vision for X-Ray Testing: Imaging, Systems, Image Databases, and Algorithms, 2nd edition
Dr. Domingo Mery, Pontifical Catholic University of Chile;
Dr. Christian Pieringer, Pontifical Catholic University of Chile
Springer International Publishing, 2021
ISBN: 9783030567682;
Language: English
Computer Vision for X-Ray Testing 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.
