Computer Vision for X-Ray Testing: Imaging, Systems, Image Databases, and Algorithms

By Domingo Mery and Christian Pieringer

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3030567710
• ISBN13: 9783030567712
• Release Date: December 2021
• Publisher: Springer
• Length: 456 Pages
• Weight: 1.48 lbs.
• Dimensions: 1.0" x 6.1" x 9.2"