Overview
- Presents a focus on the most important real-world applications of X-ray testing
- Updated edition featuring new material on deep learning, simulation approaches, and dual energy X-ray images
- Includes numerous examples in Python
- Provides supplementary material at an associated website, including slides, videos, and a database of X-ray images
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Table of contents (9 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Computer Vision for X-Ray Testing
Book Subtitle: Imaging, Systems, Image Databases, and Algorithms
Authors: Domingo Mery, Christian Pieringer
DOI: https://doi.org/10.1007/978-3-030-56769-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-56768-2Published: 22 December 2020
Softcover ISBN: 978-3-030-56771-2Published: 23 December 2021
eBook ISBN: 978-3-030-56769-9Published: 21 December 2020
Edition Number: 2
Number of Pages: XXVI, 456
Number of Illustrations: 64 b/w illustrations, 356 illustrations in colour
Topics: Image Processing and Computer Vision, Quality Control, Reliability, Safety and Risk, Machine Learning, Simulation and Modeling