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Book synopsis

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 details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Computer Vision for X-Ray Testing
• Subtitle: Imaging, Systems, Image Databases, and Algorithms
• Author: Domingo Mery
• Language: English
• Binding: Hardback
• Number of pages: 347
• EAN: 9783319207469
• ISBN: 3319207466
• ID: 09354183
• Publisher: Springer International Publishing AG
• Weight: 7475 g
• Dimensions: 235 × 155 × 17 mm
• Date of publishing: 28. July 2015

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