Computer Vision for X-Ray Testing (Record no. 56266)

000 -LEADER
fixed length control field 03943nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-319-20747-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111853.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150724s2015 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319207476
-- 978-3-319-20747-6
082 04 - CLASSIFICATION NUMBER
Call Number 006.6
082 04 - CLASSIFICATION NUMBER
Call Number 006.37
100 1# - AUTHOR NAME
Author Mery, Domingo.
245 10 - TITLE STATEMENT
Title Computer Vision for X-Ray Testing
Sub Title Imaging, Systems, Image Databases, and Algorithms /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXIV, 347 p. 311 illus., 62 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-20747-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2015.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern recognition.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Quality control.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Reliability.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial safety.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image Processing and Computer Vision.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Quality Control, Reliability, Safety and Risk.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern Recognition.
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-- ZDB-2-SCS

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