Computer Vision and Applications: A Guide for Students and Practitioners
Bernd Jähne, Horst Haussecker
Academic Press, 2000 - Computers - 679 pages
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
What people are saying - Write a review
Other editions - View all
Computer Vision and Applications: A Guide for Students and Practitioners ...
Limited preview - 2000
algorithms analysis angle aperture aperture problem applications approach basic blur calibration camera cell Chapter coefficients color components computer vision convolution coordinate corresponding defined denotes depth derivative detection detector diffusion dilation direction discrete distance distribution domain edge edge detection electronic equation errors estimation example field Figure filter Fourier transform fuzzy sets Gabor filter Gaussian geometric given gradient gray value grid Heidelberg IEEE illumination illustrated in Fig image processing image sensors input interpolation lattice lens linear mask matrix measure morphological neighborhood noise nonlinear object operator optical flow orientation output parameters paraxial pattern photocharge photons pixel point spread function problem Proc properties radiance radiation recursive filters refraction region scale space Section segmentation signal smoothing spatial spatiotemporal spectral square structure tensor surface symmetry techniques tion transfer function vector vergence voltage wave number wavelength zero