國立高雄大學圖資館 |

登入

回首頁

Digital image processingan algorithmic introduction /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Digital image processingby Wilhelm Burger, Mark J. Burge.
其他題名:	an algorithmic introduction /
作者:	Burger, Wilhelm.
其他作者:	Burge, Mark.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xxv, 945 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Image processingDigital techniques.
電子資源:	https://doi.org/10.1007/978-3-031-05744-1
ISBN:	9783031057441$q(electronic bk.)

Digital image processingan algorithmic introduction /
Burger, Wilhelm.

Digital image processingan algorithmic introduction /[electronic resource] :by Wilhelm Burger, Mark J. Burge. - Third edition. - Cham :Springer International Publishing :2022. - xxv, 945 p. :ill. (chiefly color), digital ;24 cm. - Texts in computer science,1868-095X. - Texts in computer science..

1. Digital Images -- 2. ImageJ -- 3. Histograms and Image Statistics -- 4. Point Operations -- 5. Filters -- 6. Edges and Contours -- 7. Corner Detection -- 8. Finding Simple Curves -- 9. Morphological Filters -- 10. Regions in Binary Images -- 11. Automatic Thresholding -- 12. Color Images -- 13. Color Quantization -- 14. Colorimetric Color Spaces -- 15. Filters for Color Images -- 16. Edge Detection in Color Images -- 17. Edge-Preserving Smoothing Filters -- 18. Introduction to Spectral Techniques -- 19. The Discrete Fourier Transform in 2D -- 20. Geometric Operations.

This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples. This much-anticipated 3rd edition of the definitive textbook on digital image processing has been completely revised and expanded with new content, improved illustrations and teaching material. Topics and features: Contains new chapters on fitting of geometric primitives, randomized feature detection (RANSAC), and maximally stable extremal regions (MSER) Includes exercises for most chapters and provides additional supplementary materials and software implementations at an associated website Uses ImageJ for all examples, a widely used open source imaging environment that can run on all major platforms Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs that can be easily ported to other programming languages Presents suggested outlines for a one- or two-semester course in the preface Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also prove invaluable to researchers and professionals seeking a practically focused self-study primer. Dr. Wilhelm Burger is an emeritus of the University of Applied Sciences Upper Austria at Hagenberg, where he served as Head of the Digital Media degree programs at the School of Informatics, Communications and Media. Dr. Mark J. Burge is the Senior Advisor for Artificial Intelligence at the Federal Bureau of Investigation, Washington, DC, USA. His other publications include the Handbook of Iris Recognition.

ISBN: 9783031057441$q(electronic bk.)

Standard No.: 10.1007/978-3-031-05744-1doiSubjects--Topical Terms:

182119
Image processing
--Digital techniques.

LC Class. No.: TA1637 / .B87 2022

Dewey Class. No.: 006.6633

Digital image processingan algorithmic introduction /
LDR:03515nmm a2200349 a 4500 001 627577
003 DE-He213
005 20220723131228.0
006 m d
007 cr nn 008maaau
008 230201s2022 sz s 0 eng d
020 $a 9783031057441$q(electronic bk.)
020 $a 9783031057434$q(paper)
024 7 $a 10.1007/978-3-031-05744-1 $2 doi
035 $a 978-3-031-05744-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1637 $b .B87 2022
072 7 $a UYQV $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYQV $2 thema
082 0 4 $a 006.6633 $2 23
090 $a TA1637 $b .B954 2022
100 1 $a Burger, Wilhelm. $3 283342
245 1 0 $a Digital image processing $h [electronic resource] : $b an algorithmic introduction / $c by Wilhelm Burger, Mark J. Burge.
250 $a Third edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xxv, 945 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Texts in computer science, $x 1868-095X
505 0 $a 1. Digital Images -- 2. ImageJ -- 3. Histograms and Image Statistics -- 4. Point Operations -- 5. Filters -- 6. Edges and Contours -- 7. Corner Detection -- 8. Finding Simple Curves -- 9. Morphological Filters -- 10. Regions in Binary Images -- 11. Automatic Thresholding -- 12. Color Images -- 13. Color Quantization -- 14. Colorimetric Color Spaces -- 15. Filters for Color Images -- 16. Edge Detection in Color Images -- 17. Edge-Preserving Smoothing Filters -- 18. Introduction to Spectral Techniques -- 19. The Discrete Fourier Transform in 2D -- 20. Geometric Operations.
520 $a This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples. This much-anticipated 3rd edition of the definitive textbook on digital image processing has been completely revised and expanded with new content, improved illustrations and teaching material. Topics and features: Contains new chapters on fitting of geometric primitives, randomized feature detection (RANSAC), and maximally stable extremal regions (MSER) Includes exercises for most chapters and provides additional supplementary materials and software implementations at an associated website Uses ImageJ for all examples, a widely used open source imaging environment that can run on all major platforms Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs that can be easily ported to other programming languages Presents suggested outlines for a one- or two-semester course in the preface Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also prove invaluable to researchers and professionals seeking a practically focused self-study primer. Dr. Wilhelm Burger is an emeritus of the University of Applied Sciences Upper Austria at Hagenberg, where he served as Head of the Digital Media degree programs at the School of Informatics, Communications and Media. Dr. Mark J. Burge is the Senior Advisor for Artificial Intelligence at the Federal Bureau of Investigation, Washington, DC, USA. His other publications include the Handbook of Iris Recognition.
650 0 $a Image processing $x Digital techniques. $3 182119
650 0 $a Java (Computer program language) $3 189341
650 1 4 $a Computer Vision. $3 913138
650 2 4 $a Digital and Analog Signal Processing. $3 913395
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Signal, Speech and Image Processing. $3 919570
700 1 $a Burge, Mark. $3 283341
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Texts in computer science. $3 559643
856 4 0 $u https://doi.org/10.1007/978-3-031-05744-1
950 $a Computer Science (SpringerNature-11645)