Computer vision and applications: a guide for students and practitioners

Sensors and imaging -- Signal processing and pattern recognition -- Application gallery

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Bibliographic Details
Other Authors:	Jähne, Bernd (Editor) , Haußecker, Horst (Editor)
Format:	Book/Monograph
Language:	English
Published:	San Diego, Calif. [u.a.] Academic Press 2000
Subjects:	Electronic books Maschinelles Sehen
Online Access:	Verlag, Volltext: http://www.sciencedirect.com/science/book/9780123797773 Verlag, lizenzpflichtig: https://www.sciencedirect.com/science/book/9780123797773 Verlag, Zentralblatt MATH, Inhaltstext: https://zbmath.org/?q=an:0976.68004
Author Notes:	Bernd Jähne and Horst Haussecker [Hrsg.]

MARC


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245	0	0	\|a Computer vision and applications \|b a guide for students and practitioners \|c Bernd Jähne and Horst Haussecker [Hrsg.]
264		1	\|a San Diego, Calif. [u.a.] \|b Academic Press \|c 2000
300			\|a Online Ressource (xxi, 679 p.) \|b Ill.
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500			\|a Includes bibliographical references and index. - Description based on print version record
505	8		\|a Sensors and imaging -- Signal processing and pattern recognition -- Application gallery.
505	8		\|a Preface. Contributors. B. Jahne, Introduction. Sensors and Imaging. H. Haubecker, Radiation and Illumination. P. Geibler, Imaging Optics. H. Haubecker, Radiometry of Imaging. P. Seitz, Solid-State Image Sensing. R. Godding, Geometric Calibration of Digital Imaging Systems. R. Schwarte, G. Hausler, R.W. Malz, Three-Dimensional Imaging Techniques. Signal Processing and Pattern Recognition. B. Jahne, Representation of Multidimensional Signals. B. Jahne, Neighborhood Operators. H. Haubecker, H. Spies, Motion. P. Geibler, T. Dierig, H.A. Mallot, Three-Dimensional Imaging Algorithms. J. Weickert, Design of Nonlinear Diffusion Filters. C. Schnorr, Variational Adaptive Smoothing and Segmentation. P. Soille, Morphological Operators. J. Hornegger, D. Paulus, H. Niemann, Probabilistic Modeling in Computer Vision. H. Haubecker, H.R. Tizhoosh, Fuzzy Image Processing. A. Meyer-Base, Neural Net Computing for Image Processing. Application Gallery. Index.
520			\|a Sensors and imaging -- Signal processing and pattern recognition -- Application gallery
520			\|a Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectrum of computer vision ranging form the imaging process to high-end algorithms and applications. This book consists of three parts, including an application gallery, and is accompanied by an interactive CD-ROM. * Bridges the gap between theory and practical applications * Covers modern concepts in computer vision as well as modern developments in imaging sensor technology * Presents a unique interdisciplinary approach covering different areas of modern science * An accompanying CD-ROM provides full text with hyperlinks for quick searching and browsing along with reference material, interactive software components, code examples, image material, full-color figures, and references to Internet sources
520			\|a Preface. Contributors. B. Jahne, Introduction. Sensors and Imaging. H. Haubecker, Radiation and Illumination. P. Geibler, Imaging Optics. H. Haubecker, Radiometry of Imaging. P. Seitz, Solid-State Image Sensing. R. Godding, Geometric Calibration of Digital Imaging Systems. R. Schwarte, G. Hausler, R.W. Malz, Three-Dimensional Imaging Techniques. Signal Processing and Pattern Recognition. B. Jahne, Representation of Multidimensional Signals. B. Jahne, Neighborhood Operators. H. Haubecker, H. Spies, Motion. P. Geibler, T. Dierig, H.A. Mallot, Three-Dimensional Imaging Algorithms. J. Weickert, Design of Nonlinear Diffusion Filters. C. Schnorr, Variational Adaptive Smoothing and Segmentation. P. Soille, Morphological Operators. J. Hornegger, D. Paulus, H. Niemann, Probabilistic Modeling in Computer Vision. H. Haubecker, H.R. Tizhoosh, Fuzzy Image Processing. A. Meyer-Base, Neural Net Computing for Image Processing. Application Gallery. Index
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Computer vision and applications: a guide for students and practitioners

MARC

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