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Kategorie szczegółowe BISAC

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

ISBN-13: 9783319372020 / Angielski / Miękka / 2016 / 347 str.

Domingo Mery
Computer Vision for X-Ray Testing: Imaging, Systems, Image Databases, and Algorithms Mery, Domingo 9783319372020 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

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

ISBN-13: 9783319372020 / Angielski / Miękka / 2016 / 347 str.

Domingo Mery
cena 241,50
(netto: 230,00 VAT:  5%)

Najniższa cena z 30 dni: 231,29
Termin realizacji zamówienia:
ok. 22 dni roboczych
Dostawa w 2026 r.

Darmowa dostawa!

This accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray testing. Covering complex topics in an easy-to-understand way, without requiring any prior knowledge in the field, the book provides a concise review of the key methodologies in computer vision for solving important problems in industrial radiology. The theoretical coverage is supported by numerous examples, each of which can be tested and evaluated by the reader using a freely-available Matlab toolbox and X-ray image database.Topics and features: introduces the mathematical background for monocular and multiple view geometry, which is commonly used in X-ray computer vision systems; describes the main techniques for image processing used in X-ray testing, including image filtering, edge detection, image segmentation and image restoration; 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, and techniques for estimating the accuracy of a classifier; 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.This classroom-tested and hands-on guide is ideal for graduate and advanced undergraduate students interested in the practical application of image processing, pattern recognition and computer vision techniques for non-destructive quality testing and security inspection.

Kategorie:
Technologie
Kategorie BISAC:
Computers > Artificial Intelligence - Computer Vision & Pattern Recognition
Computers > Software Development & Engineering - Computer Graphics
Technology & Engineering > Quality Control
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9783319372020
Rok wydania:
2016
Wydanie:
Softcover Repri
Ilość stron:
347
Waga:
6.30 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Wolumenów:
01

X-ray Testing

Images for X-ray Testing

Geometry in X-ray Testing

X-ray Image Processing

X-ray Image Representation

Classification in X-ray Testing

Simulation in X-ray Testing

Applications in X-ray Testing

Appendix A: GDXray Details

Appendix B: XVIS Toolbox - Quick Reference

Dr. Domingo Mery is a Full Professor at the Machine Intelligence Group (GRIMA) of the Department of Computer Sciences, and Director of Research and Innovation at the School of Engineering, at the Pontificia Universidad Católica de Chile, Santiago, Chile.

This accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray testing. 

Covering complex topics in an easy-to-understand way, without requiring any prior knowledge in the field, the book provides a concise review of the key methodologies in computer vision for solving important problems in industrial radiology. The theoretical coverage is supported by numerous examples, each of which can be tested and evaluated by the reader using a freely-available Matlab toolbox and X-ray image database.

Topics and features:

  • Introduces the mathematical background for monocular and multiple view geometry, which is commonly used in X-ray computer vision systems
  • Describes the main techniques for image processing used in X-ray testing, including image filtering, edge detection, image segmentation and image restoration
  • 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, and techniques for estimating the accuracy of a classifier
  • 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

This classroom-tested and hands-on guide is ideal for graduate and advanced undergraduate students interested in the practical application of image processing, pattern recognition and computer vision techniques for non-destructive quality testing and security inspection.



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