Computer Vision for X-Ray Testing : Imaging, Systems, Image Databases, and Algorithms
Second Edition 2021
Book Details
Format
Paperback / Softback
ISBN-10
3030567710
ISBN-13
9783030567712
Edition
Second Edition 2021
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 23rd, 2021
Print length
456 Pages
Product Classification:
Security & fire alarm systemsComputer modelling & simulationMachine learningComputer vision
Ksh 8,100.00
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[FIRST EDITION] This accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray testing. 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;
[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.
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