本资源来自于互联网,仅供学习研究之用,不可涉及任何商业用途,请在下载后24小时内删除。
著作权归原作者或出版社所有。未经发贴人conanwj许可,严禁任何人以任何形式转贴本文,违者必究!
The Image Processing Handbook,Third Edition
Authors
John C. Russ.
Publisher: CRC
Pub Date: 1998
Pages: 685
Introduction
Image processing is used for two somewhat different purposes:
a) improving the visual appearance of images to a human viewer, and
b) preparing images for measurement of the features and structures present.
The techniques that are appropriate for each of these tasks are not always the same, but there is considerable
overlap. This book covers methods that are used for both purposes.
To do the best possible job, it helps to know about the uses to which the processed images will be put. For
visual enhancement, this means having some familiarity with the human visual process, and an appreciation
of what cues the viewer responds to in images. It also is useful to know about the printing process, since many
images are processed in the context of reproduction or transmission.
The measurement of images generally requires that features be well defined, either by edges or unique (and
uniform) brightness or color, texture, or some combination of these factors. The types of measurements that
will be performed on entire scenes or individual features are important in determining the appropriate
processing steps.
It may help to recall that image processing, like food processing or word processing, does not reduce the
amount of data present but simply rearranges it. Some arrangements may be more appealing to the senses, and
some may convey more meaning, but these two criteria may not be identical nor use identical methods.
This handbook presents an extensive collection of image processing tools, so that the user of computer-based
systems can both understand those methods provided in packaged software, and program those additions
which may be needed for particular applications. Comparisons are presented of different algorithms that may
be used for similar purposes, using a selection of representative pictures from light and electron microscopes,
as well as macroscopic, satellite and astronomical images.
In revising the book for this new edition, I have tried to respond to some of the comments and requests of
readers and reviewers. New chapters on the measurement of images and the subsequent interpretation of the
data were added in the second edition, and now there is a major new section on the important subject of
surface images which includes both processing and measurement. The sections on the ever-advancing
hardware for image capture and printing have been expanded and information added on the newest
technologies. More examples have been added in every chapter, and the reference list expanded and brought
up to date.
However, I have resisted suggestions to put “more of the math” into the book. There are excellent texts on
image processing, compression, mathematical morphology, etc., that provide as much rigor and as many
derivations as may be needed. Many of them are referenced here. But the thrust of this book remains teaching
by example. Few people learn the principles of image processing from the equations. Just as we use images to
“do science,” so most of us use images to learn about many things, including imaging itself. The hope is that
by seeing what various operations do to representative images, you will discover how and why to use them.
Then, if you need to look up the mathematical foundations, they will be easier to understand.
The reader is encouraged to use this book in concert with a real source of images and a computer-based
system, and to freely experiment with different methods to determine which are most appropriate for his or
her particular needs. Selection of image processing tools to explore images when you don't know the contents
beforehand is a much more difficult task than using tools to make it easier for another viewer or a
measurement program to see the same things you have discovered. It places greater demand on computing
speed and the interactive nature of the interface. But it particularly requires that you become a very analytical
observer of images. If you can learn to see what the computer sees, you will become a better viewer and
obtain the best possible images, suitable for further processing.
To facilitate this hands-on learning process, I have collaborated with my son, Chris Russ, to produce a
CD-ROM that can be used as a companion to this book. The Image Processing Tool Kit contains more than
200 images, many of them the examples from this book, plus over 100 Photoshop-compatible plug-ins that
implement many of the algorithms discussed here. These can be used with Adobe Photoshop? or any of the
numerous programs (some of them free) that implement the Photoshop plug-in interface, on either Macintosh
or Windows computers. Information about the CD-ROM is available on-line at
http://members.AOL.com/ImagProcTK/.
本资源共7个可选网络硬盘链接, 17.1 MB,保质期2009-08-15。
第一个链接是sendspace的网盘。 国内访问有点问题,用代理可以访问的。
----------------------------------------------------------------------------
The Image Processing Handbook,Third Edition.John C. Russ.CRC.1998.pdf
The Image Processing Handbook,Third Edition.John C. Russ.CRC.1998.pdf
The Image Processing Handbook,Third Edition.John C. Russ.CRC.1998.pdf
The Image Processing Handbook,Third Edition.John C. Russ.CRC.1998.pdf
The Image Processing Handbook,Third Edition.John C. Russ.CRC.1998.pdf
The Image Processing Handbook,Third Edition.John C. Russ.CRC.1998.pdf
The Image Processing Handbook,Third Edition.John C. Russ.CRC.1998.pdf
---------------------------------------------------------------------------- |