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Digital Image Processing (With CD-ROM) [Hardcover]

Bernd Jähne (Author)


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Hardcover $101.67  
Hardcover, April 29, 2002 --  
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Book Description

3540677542 978-3540677543 April 29, 2002 5th rev. and extended ed.
This book offers an integral view of image processing from image acquisition to the extraction of the data of interest. The discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. The fifth edition has been completely revised and extended. The most notable extensions include a detailed discussion on random variables and fields, 3-D imaging techniques and a unified approach to regularized parameter estimation. The complete.text of the book is now available on the accompanying CD-ROM. It is hyperlinked so that it can be used in a very flexible way. The CD-ROM contains a full set of exercises to all topics covered by this book and a runtime version of the image processing software heurisko. A large collection of images, image sequences, and volumetric images is available for practical exercises.

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Editorial Reviews

Review

From the first edition: "I recommend this book to anyone seriously engaged in image processing. It will clearly stretch the horizon of some readers and be a good reference for others. This is not just another image processing book; it is a book worth owning and a book worth reading several times." -- (Electronic Imaging) --This text refers to an out of print or unavailable edition of this title.

From the Back Cover

Since the first edition of "Digital Image Processing" was published in 1991 it has found its way to many desks and classrooms. The book offers an integral view of image processing from physical process of image acquisition to the extraction of the data of interest. This is also revealed in the renewed structure of the seventh edition, dividing the contents in three major parts: Image Acquisition, Image Processing, and Image Analysis. In particular, the Image Acquisition Part is strengthened by a new chapter on Sensors taking into account the technological improvements of recent years. A reference of fundamental mathematics is given in the Appendix.

The book supplements the discussion of the general concepts with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. Each chapter includes exercises that help you to test your understanding, train your skills, and introduce you to real-world image processing tasks. An important part of the exercises is a wealth of interactive computer exercises, which cover all topics of this textbook. These exercises are performed with the image processing software heurisko which is included on the accompanying CD-ROM. In this way you can get own practical experience with almost all topics and algorithms covered by this book.

--This text refers to an alternate Hardcover edition.

Product Details

  • Hardcover: 585 pages
  • Publisher: Springer; 5th rev. and extended ed. edition (April 29, 2002)
  • Language: English
  • ISBN-10: 3540677542
  • ISBN-13: 978-3540677543
  • Product Dimensions: 9.5 x 6.3 x 1.1 inches
  • Shipping Weight: 2.2 pounds
  • Amazon Best Sellers Rank: #3,559,299 in Books (See Top 100 in Books)

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Inside This Book (learn more)
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First Sentence:
From the beginning of science, visual observation has played a major role. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
spatial gray value changes, ring test pattern, rank value filters, gray value structure, constant gray values, binomial mask, reciprocal grid, gray values change, local wave number, interpolation mask, monogenic signal, blur disk, wave number representation, gray value variations, mean gray value, quadrature filter pair, discrete inverse problem, discrete scale space, normalized convolution, coherency measure, wave number zero, gray value distribution, telecentric imaging, binomial filters, smoothing mask
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Averaging Figure, Cartesian Fourier, Heidelberg University, Motion Figure, Robert Bosch, University of Heidelberg, Classification Figure, Correlation Methods, Digital Image Processing Copyright, Discrete Unitary Transforms, First-Order Differential Methods, Imaging Figure, Introduction All, Optimized Interpolation, Representation of Shape, Texture Figure, Van Cittert
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