Computer Vision for X-Ray Testing: Imaging, Systems, Image Databases, and Algorithms (2nd ed. 2021)

By: Domingo Mery and Christian Pieringer

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Synopsis: [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.

Book Quality:: Publisher Quality
ISBN-13:: 9783030567699
Related ISBNs:: 9783030567682
Publisher:: Springer International Publishing
Date of Addition:: 01/01/21
Copyrighted By:: Springer
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Art and Architecture, Computers and Internet, Technology
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.