Computer Vision for X-Ray Testing - Imaging, Systems, Image Databases, and Algorithms (Hardcover, 2nd ed. 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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	December 2020
First published:	2021
Authors:	Domingo Mery • Christian Pieringer
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	456
Edition:	2nd ed. 2021
ISBN-13:	978-3-03-056768-2
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-03-056768-0
Barcode:	9783030567682

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