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Practical Algorithms for Image Analysis with CD-ROM: Description, Examples, and Code
 
 
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Practical Algorithms for Image Analysis with CD-ROM: Description, Examples, and Code [Hardcover]

Michael Seul (Author), Lawrence O'Gorman (Author), Michael J. Sammon (Author)
4.8 out of 5 stars  See all reviews (14 customer reviews)


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Hardcover, February 13, 2000 --  
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Practical Algorithms for Image Analysis with CD-ROM Practical Algorithms for Image Analysis with CD-ROM 4.8 out of 5 stars (14)
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Book Description

0521660653 978-0521660655 February 13, 2000
This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images. Written in classic "cookbook" style, it reflects the authors' long experience as users and developers of image analysis algorithms and software. For each task, they present a description and implementation of the most suitable procedure in easy-to-use form. The algorithms range from the simplest steps to advanced functions not commonly available for Windows users. Each self-contained section treats a single operation (histogram evaluation, low-pass filtering, and edge detection, among others). The coverage includes typical situations requiring that operation and then discusses the algorithm and implementation. Sections start with a header illustrating the nature of the procedure through a "before" and "after" pictorial example and a ready-reference that lists typical applications, keywords, and related procedures. Annotated references can be found at the end of each section. An accompanying CD-ROM contains a collection of C programs for carrying out the book's procedures.


Editorial Reviews

Review

'... will be welcomed by programmers concerned with image analysis ... very useful.' Alex M. Andrew, Robotica

Book Description

This book offers guided access to a collection of algorithms for the digital manipulation and analysis of images. Written in classic "cookbook" style, it reflects the authors' long experience as users and developers of image analysis algorithms and software. For each task, they present a description and implementation of the most suitable procedure in easy-to-use form. The algorithms range from the simplest steps to advanced functions not commonly available for Windows users.Each self-contained section treats a single primary operation, beginning with a pictorial example and a ready-reference giving typical applications, keywords, and cross-references. The accompanying CDROM contains a collection of C programs implementating all the algorithms discussed in the book.Every researcher or practitioner working with images will need this reference and sofware library.

Product Details

  • Hardcover: 302 pages
  • Publisher: Cambridge University Press (February 13, 2000)
  • Language: English
  • ISBN-10: 0521660653
  • ISBN-13: 978-0521660655
  • Product Dimensions: 10.1 x 7.2 x 0.9 inches
  • Shipping Weight: 1.6 pounds
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (14 customer reviews)
  • Amazon Best Sellers Rank: #1,184,195 in Books (See Top 100 in Books)

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Customer Reviews

14 Reviews
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Average Customer Review
4.8 out of 5 stars (14 customer reviews)
 
 
 
 
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30 of 33 people found the following review helpful:
5.0 out of 5 stars Practical is the Word, June 27, 2000
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This review is from: Practical Algorithms for Image Analysis with CD-ROM: Description, Examples, and Code (Hardcover)
The title says it all. This book was meant to be used. It is organized around a series of transformations that are performed on an image in going from the raw, captured form to usable result. Each step is well identified so you can go directly to the part you need. The methods and routines used are the author's choices, but they give enough information so you can dig deeper if you suspect you may have special needs.

I particularly liked the illustrations. They aren't fancy coffee table illustrations but they are very clear and pointed to what is being discussed. There are many illustrations that show the effect of the procedures on actual images from a variety of fields.

There is a CD-ROM of the executable programs.

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23 of 25 people found the following review helpful:
5.0 out of 5 stars A comprehensive book, with good examples, April 1, 2000
This review is from: Practical Algorithms for Image Analysis with CD-ROM: Description, Examples, and Code (Hardcover)
The authors use clear easy-to-understand algorithms to explain difficult concepts. Carefully selected examples make it very a comprehensive and insightful book. It is a good cookbook for beginning as well as advanced machine vision people. The text is supported by an abundance of figures and graphics. The full C source companion software on CD ROM enables the reader to quickly apply the theory. Altogether indispensable for the researcher and innovator, who will return to this remarkable book again and again.
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8 of 8 people found the following review helpful:
4.0 out of 5 stars Image Analysis Book Review, December 5, 2004
This review is from: Practical Algorithms for Image Analysis with CD-ROM: Description, Examples, and Code (Hardcover)
I found the book to be very informative and I acquired several ideas from reading it. But, I repeatedly found myself searching the book for definitions of some of the terms it uses throughout its text. Practical Algorithms for Image Analysis will introduce new terms without any hint of their meaning, assuming that the reader already knows all they need to know about the subject matter (which would negate the need to buy the book!). This book sorely needs a glossary.
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Inside This Book (learn more)
First Sentence:
In this book, we offer guided access to a collection of algorithms for the digital manipulation of images. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
tissue damage analysis, primitives chain code, critical point detection, liver tissue image, domain centroids, polygonal fit, histogram expansion, object shape analysis, raster search, spectral shape analysis, magnetic stripe domains, segment cluster analysis, image filename, tangential representation, pixel chains, occupied bins, histogram transformations, subsampled image, curvature maxima, uniform filter, neighborhood averaging, subsampling rate, binary regions, pictorial example, input filename
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Image Process, Corel Stock Photo Library, Englewood Cliffs, American Physical Society, Section Overview Section, Lucent Technologies Inc, Addison-Wesley Publishing Company, Advanced Shape Analysis
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