The Pocket Handbook of Image Processing Algorithms In C [Paperback]

Harley R. Myler (Author), Arthur R. Weeks (Author)

Book Description

ISBN-10: 0136422403 | ISBN-13: 978-0136422402 | Publication Date: August 26, 1993 | Edition: 1

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.

Editorial Reviews

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; 1 edition (August 26, 1993)
• Language: English
• ISBN-10: 0136422403
• ISBN-13: 978-0136422402
• Product Dimensions: 5.8 x 3.3 x 0.7 inches
• Shipping Weight: 6.4 ounces
• Average Customer Review: 3.7 out of 5 stars  See all reviews (12 customer reviews)
• Amazon Best Sellers Rank: #1,932,527 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

14 of 15 people found the following review helpful:

5.0 out of 5 stars Useful little book, May 22, 2000

By 

[e-mail] - See all my reviews

This review is from: The Pocket Handbook of Image Processing Algorithms In C (Paperback)

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.

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
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Amazon Verified Purchase

This review is from: The Pocket Handbook of Image Processing Algorithms In C (Paperback)

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).

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)   

This review is from: The Pocket Handbook of Image Processing Algorithms In C (Paperback)

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!