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Download The Pocket Handbook of Image Processing Algorithms in C eBook

by Arthur R. Weeks,Harley R. Myler

Download The Pocket Handbook of Image Processing Algorithms in C eBook
ISBN:
0137033478
Author:
Arthur R. Weeks,Harley R. Myler
Category:
Engineering
Language:
English
Publisher:
Prentice Hall; 1 edition (August 26, 1993)
Pages:
320 pages
EPUB book:
1786 kb
FB2 book:
1428 kb
DJVU:
1313 kb
Other formats
lit lrf docx mobi
Rating:
4.1
Votes:
593


While this book at first appeared to be exactly what I was looking for, I quickly became disappointed by how hit or. .The book isn't terribly useful unless you are well versed in the topic, and if that is the case then you probably don't require a book like this.

The book isn't terribly useful unless you are well versed in the topic, and if that is the case then you probably don't require a book like this.

The Pocket Handbook of I.has been added to your Cart. This book assumes that you already know how to program in C and that you are already familiar with the theory of image processing as it was never intended to be a textbook on either of these subjects

The Pocket Handbook of I. This book assumes that you already know how to program in C and that you are already familiar with the theory of image processing as it was never intended to be a textbook on either of these subjects. However, this does not mean that this cookbook is devoid of theory. Each transform contains a short description of its purpose, a before and after image showing its effect, a paragraph describing the algorithm, and then the C code that performs the transform.

This handy desktop reference gathers together into one easy-to-use volume the most popular image processing algorithms.

oceedings{Myler1993ThePH, title {The Pocket Handbook of Image Processing Algorithms In C}, author {Harley R. Myler and Arthur R. Weeks}, year {1993} }. Harley R. Myler, Arthur R. Weeks. 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. View PDF. Save to Library.

Author: Harley R. Myler Arthur R.

Provides algorithms for image noise generation. MARKETS: For users and developers of image processing systems and programs.

Arthur R. Weeks, Harley R. Myler.

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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.

  • Najinn
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. There are even algorithms for computer vision techniques such as circularity, compactness, and finding the minimum or maximum axis. This book assumes that you already know how to program in C and that you are already familiar with the theory of image processing as it was never intended to be a textbook on either of these subjects. However, this does not mean that this cookbook is devoid of theory. Each transform contains a short description of its purpose, a before and after image showing its effect, a paragraph describing the algorithm, and then the C code that performs the transform. Some reviewers have complained about the C code, but to me it was commented well enough that I have been able to easily translate several of the algorithms into Java for an application I have been writing. Depending on the complexity of the transform there may also be a diagram or an equation included. The algorithms are laid out in alphabetical order, so as to be convenient for quick look-up. It is true that the code assumes in most cases that the input image is a 256 level gray scale image, but then if the reader is familiar with image processing it should be easy to extend any of these transforms to color images. Where this book is weakest and most shows its age is in the class of transformations labeled "storage formats". For the image types the user is still most likely to encounter- GIF, JPEG, and TIF- the book only shows routines that tell you how to determine if the file is or isn't one of these types. Details on decoding or encoding these image types is beyond the scope of the book. The book does include details for PC Paintbrush and MacPaint formats. However, these simple image storage formats are no longer commonly used. I don't think that this one weakness negates the usefulness of this book for the vast majority of readers.
  • Jark
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).
  • Braendo
This book may seem like it's dated, since it was published almost 20 years ago, but it's one of the few image processing books that I keep turning to again and again. The amazing thing is that I turn to it not only for image processing, but for signal processing as well, since it's not difficult to remove one of the dimensions from 2-D algorithms. The main beautiful thing about this book is that it provides working code examples for many core image and signal processing algorithms. There is nothing better than seeing a simple implementation of an algorithm which you are trying to understand, and this book provides this perfectly. Yes, you can find more efficient FFT implementations (such as fftw.org), but you won't figure out how the FFT algorithm works as quickly.

Don't expect this book to explain the theory behind the algorithms, but expect it to solidify your understanding of the algorithms that are covered by providing a simple algorithm implementation.

Very well done!
  • Kagda
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!