Computer Vision for X-Ray Testing
Produktnummer:
18e311a68ebffe4cefa36da4a18f482ce4
Autor: | Mery, Domingo Pieringer, Christian |
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Themengebiete: | Algorithms Computer Vision Deep Learning Image Analysis Image Processing Non-Destructive Testing Pattern Recognition Python Simulation X-Ray Testing |
Veröffentlichungsdatum: | 22.12.2020 |
EAN: | 9783030567682 |
Auflage: | 2 |
Sprache: | Englisch |
Seitenzahl: | 456 |
Produktart: | Gebunden |
Verlag: | Springer International Publishing |
Untertitel: | Imaging, Systems, Image Databases, and Algorithms |
Produktinformationen "Computer Vision for X-Ray Testing"
[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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