Digital Image Processing : An Algorithmic Introduction / by Wilhelm Burger, Mark J. Burge.

By:

Burger, Wilhelm

Contributor(s):

Material type: Text

TextSeries: Texts in Computer SciencePublication details: Cham, Switzerland: Springer, c 2022.Edition: 3rd ed. 2022Description: XXV, 945 p. 446 illus., 369 illus. in color. 27 cmISBN:

9783031057441
9783031057434
9783031057458
9783031063435

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:

006.6633 23 BUR-D 2022 787577

Online resources:

Full text available from Springer Computer Science eBooks 2022 English/International

Contents:

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.

In: Springer Nature eBookSummary: 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.

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Holdings ( 1 )
Title notes ( 2 )

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
Books	Faculty of CS & IT Library CS & IT Shelf No. 44 New Arrival	Book	006.6633 BUR-D 2022 787577 (Browse shelf(Opens below))	C 1	Available		787577

Total holds: 0

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.