| Image Processing Handbook The: Second Edition |  | Author: John C. Russ
Publisher: CRC-Press
Category: Book
List Price: $115.95
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Avg. Customer Rating:  9 reviews
Sales Rank: 1287543
Media: Hardcover
Edition: 2nd
Number Of Items: 1
Pages: 752
Shipping Weight (lbs): 4.1
Dimensions (in): 10.5 x 7.5 x 1.8
ISBN: 0849325161
Dewey Decimal Number: 621.367
EAN: 9780849325168
ASIN: 0849325161
Publication Date: January 7, 1995
Availability: Usually ships in 1-2 business days
Condition: Former Library book. Shows definite wear, and perhaps considerable marking on inside. 100% Money Back Guarantee. Shipped to over one million happy customers. Your purchase benefits world literacy!
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| Customer Reviews: Read 4 more reviews...
great book focusing on concepts rather than math August 16, 2007
1 out of 2 found this review helpful
I am a biologist with a little background in math. Using this book and matlab I could quickly implement basic feature recognition tools to analyze microscope images. The book focuses on concepts and explains them in intuitive language rather than in mathematical terms. Overall, it worked perfectly for me, but could be over-simplying for people with technical background.
A seminal and essential addition May 8, 2007
Image processing is used to improve the visual appearance and transmission of images to a the human eye. It also concerns the preparation of images with respect to measuring an image's features and structures. Now in a newly updated and significantly expanded fifth edition, "The Image Processing Handbook" by academician John C. Russ (Materials Science and Engineering Department, North Carolina State University, Raleigh, North Carolina) "The Image Processing Handbook" features an informative chapter explaining which visual cues elicit a response from the viewer; descriptions of the latest hardware and software for image acquisition and printing including digital cameras; multichannel images and an analysis of their principle components; the issues of deconvolution, extended dynamic range images, and image enlargement and interpolation, and so much more. Enhanced with more than 2000 illustrations, and with the availability of a companion CD-ROM, "The Image Processing Handbook" is a seminal and essential addition to professional and academic library Computer Science and Electrical Engineering reference collections.
New 5th edition continues its tradition as a valuable tool March 9, 2007
2 out of 2 found this review helpful
John Russ' book on image processing was never intended to be a textbook on how to understand and write your own image processing algorithms, as you might believe by looking through the table of contents. It does cover just about everything you would see in such a textbook, but from a user's standpoint of these operations, not as an author of image processing code who needs to understand the algorithms behind these operations. Instead, Russ explains all of the operations, their value in various applications, and provides many illustrations showing before and after pictures of what each operation does. There are no algorithms, pseudocode, or mathematics in this book.
The jewel in the crown of this book is the companion CD. It contains over 200 Photoshop plug-ins for performing the operations mentioned in this book. These plug-ins work on 8-bit grayscale and 24 bit RGB images and are divided into the categories of image adjustment, color manipulation, image math, boolean operations, Fourier processing, morphological operations, neighborhood processing, distance-map operations, thresholding, feature measurement, calibration, stereology, and surface rendering. The bad news is that you have to obtain the CD separately. If you need to understand the detailed mathematics behind such operations, you might consult Digital Image Processing by Gonzalez and Woods, and then come back to this book for the tools to accomplish the operations explained in that book. The updates to this fifth edition include an additional chapter on human vision and how it ties into image processing. Also, the author has updated his sections on image acquisition hardware and software to describe the latest tools available. Finally, the topic of tomographic imaging has been expanded and given its own chapter and the chapter on 3-D image acquisition has been deleted.
This is an excellent book on image processing from a systems engineering and user standpoint. You will be disappointed if you expect to learn the algorithms behind the techniques demonstrated in this book.
Suitable as Text or Reference March 8, 2007
This, the fifth edition of this industry standard reference book on image processing has been significantly expanded. There are some 600 new and revised images. A major feature of the new edition is to describe the new advances that have come about in hardware for image capture and printing. This includes both new versions of traditional equipment and new emerging technologies. The text has been expanded in areas like deconvolution, extended-dynamic-range images and multichannel imaging including principal-components analysis.
In general this book does not cover the background mathematics that enables image processing. Those are left to specialty books on the subject. Instead this book is intended to be used in conjunction with hands-on equipment where the reader is encouraged to experiment with different methods to determine what is needed for the particular job.
While suitable for use as a text, this book is really a handbook for technical users. The book is more oriented to what the various tools availavle to help actually do.
 Nearly perfect July 27, 2006
4 out of 5 found this review helpful
As others have stated, this book comes as close as you'll ever get to a single-source reference on image processing. But if I were ever going to shoot anything down in it, I'd say that a little more mathematical background on some topics (and maybe pseudocoded examples) would help. For example, in the satellite geometric correction section, only a very high level view is given yet this is a challenging topic that could use more depth. Geometric transformations in general could use more depth, e.g. camera calibrations or image warping/morphing/mapping to other projections for example. Another example would be the need for a little more depth on how to make slow algorithms fast ...like convolution multiplications for example. Sure, you could write out the multiplies and spot commonalities, then re-use results that appear in more than one subsequent equation and what not, but some exploration of matrix math and how to make it efficient would be nice. But again ...I'm picking at small things here, and if John's book covered everything that I'd like it to, then it would become 2 books, not one ...hey! Now THERE's an idea! A 2+ book set by John Russ that covers a broader range of topics and does so in greater depth! That's something that I'd pay for (and much better to read than Ballard & Brown)
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