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020 _a9783031057441
_9978-3-031-05744-1
024 7 _a10.1007/978-3-031-05744-1
_2doi
050 4 _aTA1634
072 7 _aUYQV
_2bicssc
072 7 _aCOM016000
_2bisacsh
072 7 _aUYQV
_2thema
082 0 4 _a006.37
_223
100 1 _aBurger, Wilhelm.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aDigital Image Processing
_h[electronic resource] :
_bAn Algorithmic Introduction /
_cby Wilhelm Burger, Mark J. Burge.
250 _a3rd ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXXV, 945 p. 446 illus., 369 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTexts in Computer Science,
_x1868-095X
505 0 _a1. 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 _aThis 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 _aComputer vision.
650 0 _aSignal processing.
650 0 _aComputational intelligence.
650 1 4 _aComputer Vision.
650 2 4 _aDigital and Analog Signal Processing.
650 2 4 _aComputational Intelligence.
650 2 4 _aSignal, Speech and Image Processing.
700 1 _aBurge, Mark J.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031057434
776 0 8 _iPrinted edition:
_z9783031057458
776 0 8 _iPrinted edition:
_z9783031063435
830 0 _aTexts in Computer Science,
_x1868-095X
856 4 0 _uhttps://doi.org/10.1007/978-3-031-05744-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c185006
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