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Computer Vision and Applications
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Table of Contents

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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* 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

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