國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Computer vision for x-ray testingima...

Mery, Domingo.

Computer vision for x-ray testingimaging, systems, image databases, and algorithms /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computer vision for x-ray testingby Domingo Mery.
其他題名:	imaging, systems, image databases, and algorithms /
作者:	Mery, Domingo.
出版者:	Cham :Springer International Publishing :2015.
面頁冊數:	xxiv, 347 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computer vision.
電子資源:	http://dx.doi.org/10.1007/978-3-319-20747-6
ISBN:	9783319207476 (electronic bk.)

Computer vision for x-ray testingimaging, systems, image databases, and algorithms /
Mery, Domingo.

Computer vision for x-ray testingimaging, systems, image databases, and algorithms /[electronic resource] :by Domingo Mery. - Cham :Springer International Publishing :2015. - xxiv, 347 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9783319207476 (electronic bk.)

Standard No.: 10.1007/978-3-319-20747-6doiSubjects--Topical Terms:

200113
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Computer vision for x-ray testingimaging, systems, image databases, and algorithms /
LDR:03209nmm a2200337 a 4500 001 472556
003 DE-He213
005 20160223094802.0
006 m d
007 cr nn 008maaau
008 160316s2015 gw s 0 eng d
020 $a 9783319207476 (electronic bk.)
020 $a 9783319207469 (paper)
024 7 $a 10.1007/978-3-319-20747-6 $2 doi
035 $a 978-3-319-20747-6
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a UYT $2 bicssc
072 7 $a UYQV $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .M576 2015
100 1 $a Mery, Domingo. $3 727765
245 1 0 $a Computer vision for x-ray testing $h [electronic resource] : $b imaging, systems, image databases, and algorithms / $c by Domingo Mery.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xxiv, 347 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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 $a 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.
650 0 $a Computer vision. $3 200113
650 0 $a X-rays $x Industrial applications. $3 675627
650 0 $a Image processing $x Digital techniques. $3 182119
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 274011
650 2 4 $a Pattern Recognition. $3 273706
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-20747-6
950 $a Computer Science (Springer-11645)