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The Pocket Handbook of Image Processing Algorithms In C
 
 
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The Pocket Handbook of Image Processing Algorithms In C (Paperback)

by Harley R. Myler (Author), Arthur R. Weeks (Author)
3.5 out of 5 stars See all reviews (11 customer reviews)

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The Pocket Handbook of Image Processing Algorithms In C + Practical Algorithms for Image Analysis with CD-ROM + Algorithms for Image Processing and Computer Vision
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  • This item: The Pocket Handbook of Image Processing Algorithms In C by Harley R. Myler

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  • Practical Algorithms for Image Analysis with CD-ROM by Lawrence O'Gorman

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Editorial Reviews

Product Description
This handy desktop reference gathers together into one easy-to-use volume the most popular image processing algorithms. Designed to be used at the computer terminal, it features an illustrated, annotated dictionary format — with clear, concise definitions, examples, and C program code. Covers algorithms for adaptive filters, coding and compression, color image processing, histogram operations, image fundamentals, mensuration, morphological filters, nonlinear filters, segmentation, spatial filters, spatial frequency filters, storage formats, and transforms. Includes graphic oriented techniques such as warping, morphing, zooming, and dithering. Provides algorithms for image noise generation. MARKETS: For users and developers of image processing systems and programs.

From the Back Cover
This handy desktop reference gathers together into one easy-to-use volume the most popular image processing algorithms. Designed to be used at the computer terminal, it features an illustrated, annotated dictionary format — with clear, concise definitions, examples, and C program code. Covers algorithms for adaptive filters, coding and compression, color image processing, histogram operations, image fundamentals, mensuration, morphological filters, nonlinear filters, segmentation, spatial filters, spatial frequency filters, storage formats, and transforms. Includes graphic oriented techniques such as warping, morphing, zooming, and dithering. Provides algorithms for image noise generation. MARKETS: For users and developers of image processing systems and programs.

Product Details

  • Paperback: 303 pages
  • Publisher: Prentice Hall PTR; 1 edition (August 26, 1993)
  • Language: English
  • ISBN-10: 0136422403
  • ISBN-13: 978-0136422402
  • Product Dimensions: 5.8 x 3.2 x 0.6 inches
  • Shipping Weight: 6.4 ounces (View shipping rates and policies)
  • Average Customer Review: 3.5 out of 5 stars See all reviews (11 customer reviews)
  • Amazon.com Sales Rank: #763,881 in Books (See Bestsellers in Books)

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    #18 in  Books > Computers & Internet > Programming > C > Algorithms

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Customer Reviews

11 Reviews
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Average Customer Review
3.5 out of 5 stars (11 customer reviews)
 
 
 
 
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15 of 16 people found the following review helpful:
5.0 out of 5 stars Useful little book, May 22, 2000
This book presents many algorithms and their C implementations in alphabetical order. Many of the entries show the result of the algorithm's application on an image. A table of contents groups the algorithms into classes, such as image fundamentals (convolution, correlation), morphological filters, and nonlinear filters. The basic stuff is all there. Also included in the appendix are programs to read and write image data, which can be used in conjunction with the C code listed for each algorithm for a working solution.

The theory is not emphasized, so readers should look elsewhere for that information. However, considering its small size, this book offers a lot of very useful information.

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9 of 10 people found the following review helpful:
5.0 out of 5 stars Author's Comment, January 17, 2004
By Harley R. Myler (Beaumont, TX United States) - See all my reviews
(REAL NAME)   
Potential buyers, please keep in mind that this book is for people that already know image processing theory or are enrolled in a course. We wrote this book for the student engineer to rapidly be able to code algorithms. They are very simply written, more so for understanding and ease of typing (most are one small page) than for algorithmic elegance or efficiency. Note that the book is very small and has a soft leatherette cover--this is so it fits comfortably in your back pocket and can be pulled out as needed. There is no CD, type the code in yourself and learn as you go. Some things are done for a reason, enjoy!
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9 of 10 people found the following review helpful:
3.0 out of 5 stars VERY USEFUL - shows signs of age, mediocre code, September 1, 2002
By Manuel A. Ricart "aricart" (Cottage Grove, MN United States) - See all my reviews
(REAL NAME)   
Very useful book. It provides *many* useful algorithms. The book is tiny, 3x5x1 so pound for pound it is a great (and portable!) book.

Some issues however detract from a 5 star rating:

a) The code examples are lame (lots of single letter variables) and poor C idioms, and some silly extra calculations, like counting pixels one at time in a loop when a single multiply would yield the same result.

b)The book feels old even though it was written in 1993. It has a codec for MacPaint files. If this doesn't ring a bell to you, MacPaint was written circa 1985 and it supports two bit images only. Most algorithms are tweaked for the B/W and/or grayscale versions so the reader will have to interpolate/derive her own color versions

C) The descriptions of the algorithms are suboptimal, but heck it is still orders of magnitude more useful than one of the fat texts on the subject. Coupled with the code examples you can easily figure out any non-clear descriptions without having to wade through a giant tome full of pseudo code.

Would I get it again - absolutely. I even made a special place for it (the top of my monitor so it won't get lost).

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Most Recent Customer Reviews

1.0 out of 5 stars Lots of potential, but ultimatly dissapointing.
While this book at first appeared to be exactly what I was looking for, I quickly became disappointed by how hit or miss the entries are. Read more
Published 11 months ago by P. Garceau

3.0 out of 5 stars Alright, but...
This book is ok for a quick find, but I've found mistakes that could have you scratching your head, like in the algoritm for Gaussian Noise. Read more
Published 16 months ago by R. P. Martone

4.0 out of 5 stars Really Nice Book with a couple of flaws
I really like this book. It gave me a jump start on image processing and it's good for anyone immersed in the field to find a quick solution to a particular algorithm they're... Read more
Published on June 5, 2006 by Raymond Phan

5.0 out of 5 stars Excellent cookbook of image processing algorithms
This book is excellent if you use it as intended - to lift working C code for the implementation of a variety of image processing algorithms. Read more
Published on November 24, 2005 by calvinnme

4.0 out of 5 stars Useful, full of stuff, but old and in some cases wrong...
Plusses: lots of algorithms, good pseudo-code for implementing them, very easy to find stuff.

Minuses: some of the code presented is outdated (MacPaint files... Read more
Published on July 10, 2005 by Kevin

3.0 out of 5 stars Good Overall Book - Lot of typos and bugs.
I am currently enrolled in a computer vision class and we used the book to write a lot of the code for image processing. Read more
Published on January 3, 2005 by Theodore Watson

1.0 out of 5 stars Utter Disappointment
Total absence of theory. Algorithms very poorly documented. However, it does open the eyes to the available algorithms in image processing. Read more
Published on January 14, 2004

5.0 out of 5 stars It's easy to read.
It intruduced broad terms of image processing tech. It's practical and easy to understand. It might only take you a couple of days to finish reading it.
Published on March 11, 2003 by yanyan

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