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Computer Vision for X-Ray Testing

Imaging, Systems, Image Databases, and Algorithms

Domingo Mery Christian Pieringer

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English
Springer Nature Switzerland AG
23 December 2021
[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.

By:   ,
Imprint:   Springer Nature Switzerland AG
Country of Publication:   Switzerland
Edition:   2nd ed. 2021
Dimensions:   Height: 235mm,  Width: 155mm, 
Weight:   735g
ISBN:   9783030567712
ISBN 10:   3030567710
Pages:   456
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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.

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