Computer Vision and Applications: A Guide for Students and Practitioners,Concise Edition

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.

Bridges the gap between theory and practical applicationsCovers modern concepts in computer vision as well as modern developments in imaging sensor technologyPresents a unique interdisciplinary approach covering different areas of modern science

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.