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 supplementarymaterials and software implementations at an associated website.Uses ImageJ for all examples, a widely used open source imaging environment thatcan run on allmajor 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.
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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.
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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 websiteUses ImageJ for all examples, a widely used open source imaging environment that can run on all major platformsDescribes 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 languagesPresents suggested outlines for a one- or two-semester course in the prefaceAdvanced 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 atHagenberg, where he served as Head of the Digital Media degree programs at the School ofInformatics, Communications and Media.Dr. Mark J. Burge is the Senior Advisor for Artificial Intelligence at the Federal Bureau ofInvestigation, Washington, DC, USA. His other publications include the Handbook of IrisRecognition.
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Presents an accessible introduction to the methods of digital image processing Describes the most important procedures, with formal and mathematical aspects discussed at a fundamental level Provides examples and exercises in the text, as well as supplementary material at an associated website
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Produktdetaljer
ISBN
9783031063435
Publisert
2023-07-24
Utgave
3. utgave
Utgiver
Vendor
Springer International Publishing AG
Høyde
254 mm
Bredde
178 mm
Aldersnivå
Lower undergraduate, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Om bidragsyterne
Dr. Wilhelm Burger is a faculty member of the University of Applied Sciences Upper Austria, Hagenberg, where he serves as Director of the Digital Media degree programs at the School of Informatics, Communications and Media.
Dr. Mark J. Burge is a scientist at the non-profit organization Noblis in Falls Church, VA, USA. His other publications include the Handbook of Iris Recognition.