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Digital Image Analysis Selected Techniques and Applications [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  1475775172
  • ISBN-10:  1475775172
  • ISBN-13:  9781475775174
  • ISBN-13:  9781475775174
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  505
  • Pages:  505
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2013
  • Pub Date:  01-Mar-2013
  • SKU:  1475775172-11-SPRI
  • SKU:  1475775172-11-SPRI
  • Item ID: 100759237
  • List Price: $54.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 03 to Jul 05
  • Notes: Brand New Book. Order Now.
The challenge behind the processing of digital images is the huge amounts of data that has to be processed in an extremely short period of time. This book is a broad-ranging technical survey of computational and analytical methods and tools for digital image analysis and interpretation. The ultimate goal is to create a rich set of computational methods for image analysis and interpretation that can achieve rapid response times. This book will serve as an excellent up-to-date resource for computer scientists and engineers in digital imaging and analysis.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 todays 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.PART I: Mathematical Methods for Image Analysis--1.Numerical Harmonic Analysis and Image Processing; 2.Stochastic Shape Theory; 3.Image Compression anlS
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