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© 2015

Computer Vision for X-Ray Testing

Imaging, Systems, Image Databases, and Algorithms

Textbook

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Domingo Mery
    Pages 1-33
  3. Domingo Mery
    Pages 35-51
  4. Domingo Mery
    Pages 53-108
  5. Domingo Mery
    Pages 109-148
  6. Domingo Mery
    Pages 149-203
  7. Domingo Mery
    Pages 205-239
  8. Domingo Mery
    Pages 241-266
  9. Domingo Mery
    Pages 267-325
  10. Back Matter
    Pages 327-347

About this book

Introduction

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.

Keywords

Algorithms Computer Vision Image Analysis Image Processing Matlab Non-Destructive Testing Pattern Recognition X-Ray Testing

Authors and affiliations

  1. 1.Pontificia Universidad Católica de ChileSantiagoChile

About the authors

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.

Bibliographic information