Imaging, Systems, Image Databases, and Algorithms
Buch, Englisch, 456 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 887 g
ISBN: 978-3-030-56768-2
Verlag: Springer International Publishing
[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.
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
X-ray Testing
Images for X-ray Testing
Geometry in X-ray Testing
X-ray Image Processing
Deep Learning
X-ray Image Representation
Classification in X-ray Testing
Simulation in X-ray Testing
Applications in X-ray Testing