
Digital Image Analysis
Selected Techniques and Applications
Springer (Publisher)
Published on 26. April 2013
Book
Paperback/Softback
XXX, 505 pages
978-1-4757-7517-4 (ISBN)
Description
The human visual system as a functional unit including the eyes, the nervous system, and the corresponding parts of the brain certainly ranks among the most important means of human information processing. The e?ciency of the biological systems is beyond the capabilities of today's technical systems, even with the fastest available computer systems. However, there are areas of application where digital image analysis systems produce acceptable results. Systems in these areas solve very specialized tasks, they operate in a limited environment, and high speed is often not necessary. Several factors determine the economical application of technical vision systems: cost, speed, ?exibility, robu- ness, functionality, and integration with other system components. Many of the recent developments in digital image processing and pattern recognition show some of the required achievements. Computer vision enhances the capabilities of computer systems in autonomously collecting large amounts of data, in extracting relevant information, in perceiving its environment, and in automatic or semiautomatic operation in this environment. The development of computer systems in general shows a steadily increasing need in computational power, which comes with decreasing hardware costs.
More details
Edition
Softcover reprint of the original 1st ed. 2001
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XXX, 505 p.
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 29 mm
Weight
1003 gr
ISBN-13
978-1-4757-7517-4 (9781475775174)
DOI
10.1007/b97375
Schweitzer Classification
Other editions
Additional editions

E-Book
05/2006
1st Edition
Springer
€53.49
Available for download

Book
05/2001
Springer
€96.00
Article not available at the moment
Content
Mathematical Methods for Image Analysis.- to Part I.- Numerical Harmonic Analysis and Image Processing.- Stochastic Shape Theory.- Image Compression and Coding.- Data Handling.- to Part II.- Parallel and Distributed Processing.- Image Data Catalogs.- Robust and Adaptive Image Understanding.- to Part III.- Graphs in Image Analysis.- Hierarchies.- Robust Methods.- Structural Object Recognition.- Machine Learning.- Information Fusion and Radiometric Models for Image Understanding.- to Part IV.- Information Fusion in Image Understanding.- Image Understanding Methods for Remote Sensing.- 3D Reconstruction.- to Part V.- Fundamentals.- Image Matching Strategies.- Precise Photogrammetric Measurement: Location of Targets and Reconstruction of Object Surfaces.- 3D Navigation and Reconstruction.- 3D Object Sensing Using Rotating CCD Cameras.