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008			220723s2022 sz | s |||| 0|eng d
020			_a9783031057441
024	7		_a10.1007/978-3-031-05744-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
100	1		_aBurger, Wilhelm _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aDigital Image Processing _bAn Algorithmic Introduction _cby Wilhelm Burger, Mark J Burge
250			_a3rd edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXV, 945 páginas) _b446 ilustraciones, 369 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
700	1		_aBurge, Mark J _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783031057434
776	0	8	_iPrinted edition: _z9783031057458
776	0	8	_iPrinted edition: _z9783031063435
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-05744-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c394787 _d394787