Computer Vision for X-Ray Testing

Imaging, Systems, Image Databases, and Algorithms
2. Auflage 2021
ISBN: 978-3-030-56768-2
Verlag: Springer

Buch, Englisch, 456 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 887 g

[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.

Zielgruppe

Graduate

Autoren/Hrsg.

Mery, Domingo

Pieringer, Christian

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Zerstörungsfreie Werkstoffprüfung

Inhaltsverzeichnis

X-ray Testing

Images for X-ray Testing

Geometry in X-ray Testing

X-ray Image Processing

Deep Learning

X-ray Image Representation

Classification in X-ray Testing

Simulation in X-ray Testing

Applications in X-ray Testing

Über Autor(innen)

Dr. Domingo Mery  is a Full Professor at the Machine Intelligence Group (GRIMA) of the Department of Computer Sciences, and Director of Research and Innovation at the School of Engineering, at the Pontifical Catholic University of Chile, Santiago, Chile.  Dr. Christian Pieringer is an Adjunct Instructor at the same institution.