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Digital Image Processing (2nd Edition) Hardcover – January 15, 2002

ISBN-13: 978-0201180756 ISBN-10: 0201180758 Edition: 2nd

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Product Details

  • Hardcover: 793 pages
  • Publisher: Prentice Hall; 2nd edition (January 15, 2002)
  • Language: English
  • ISBN-10: 0201180758
  • ISBN-13: 978-0201180756
  • Product Dimensions: 7.3 x 1.3 x 9.4 inches
  • Shipping Weight: 3 pounds (View shipping rates and policies)
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (18 customer reviews)
  • Amazon Best Sellers Rank: #223,319 in Books (See Top 100 in Books)

Editorial Reviews

From the Back Cover

Digital Image Processing has been the leading textbook in its field for more than 20 years. As was the case with the 1977 and 1987 editions by Gonzalez and Wintz, and the 1992 edition by Gonzalez and Woods, the present edition was prepared with students and instructors in mind. 771e material is timely, highly readable, and illustrated with numerous examples of practical significance. All mainstream areas of image processing are covered, including a totally revised introduction and discussion of image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, and image description. Coverage concludes with a discussion of the fundamentals of object recognition.

Although the book is completely self-contained, a Companion Website (see inside front cover) provides additional support in the form of review material, answers to selected problems, laboratory project suggestions. and a score of other features. A supplementary instructor's manual is available to instructors who have adopted the book for classroom use.

New Features
  • New chapters on wavelets, image morphology, and color image processing.
  • More than 500 new images and over 200 new line drawings and tables.
  • A revision and update of all chapters, including topics such as segmentation by watersheds.
  • Numerous new examples with processed images of higher resolution.
  • A reorganization that allows the reader to get to the material on actual image processing much sooner than before.
  • Updated image compression standards and a new section on compression using wavelets.
  • A more intuitive development of traditional topics such as image transforms and image restoration.
  • Updated bibliography.

About the Author

Rafael C. Gonzalez received the B.S.E.E. degree from the University of Miami in 1965 and the M.E. and Ph.D. degrees in electrical engineering from the University of Florida, Gainesville, in 1967 and 1970, respectively. He joined the Electrical and Computer Engineering Department at University of Tennessee, Knoxville (UTK) in 1970, where he became Associate Professor in 1973, Professor in 1978, and Distinguished Service Professor in 1984. He served as Chairman of the department from 1994 through 1997. He is currently a Professor Emeritus at UTK.

Gonzalez is the founder of the Image & Pattern Analysis Laboratory and the Robotics & Computer Vision Laboratory at the University of Tennessee. He also founded Perceptics Corporation in 1982 and was its president until 1992. The last three years of this period were spent under a full-time employment contract with Westinghouse Corporation, who acquired the company in 1989.

Under his direction, Perceptics became highly successful in image processing, computer vision, and laser disk storage technology. In its initial ten years, Perceptics introduced a series of innovative products, including: The world's first commercially-available computer vision system for automatically reading the license plate on moving vehicles; a series of large-scale image processing and archiving systems used by the U.S. Navy at six different manufacturing sites throughout the country to inspect the rocket motors of missiles in the Trident II Submarine Program; the market leading family of imaging boards for advanced Macintosh computers; and a line of trillion-byte laser disk products.

He is a frequent consultant to industry and government in the areas of pattern recognition, image processing, and machine learning. His academic honors for work in these fields include the 1977 UTK College of Engineering Faculty Achievement Award; the 1978 UTK Chancellor's Research Scholar Award; the 1980 Magnavox Engineering Professor Award; and the 1980 M.E. Brooks Distinguished Professor Award. In 1981 he became an IBM Professor at the University of Tennessee and in 1984 he was named a Distinguished Service Professor there. He was awarded a Distinguished Alumnus Award by the University of Miami in 1985, the Phi Kappa Phi Scholar Award in 1986, and the University of Tennessee's Nathan W. Dougherty Award for Excellence in Engineering in 1992.

Honors for industrial accomplishment include the 1987 IEEE Outstanding Engineer Award for Commercial Development in Tennessee; the 1988 Albert Rose Nat'l Award for Excellence in Commercial Image Processing; the 1989 B. Otto Wheeley Award for Excellence in Technology Transfer; the 1989 Coopers and Lybrand Entrepreneur of the Year Award; the 1992 IEEE Region 3 Outstanding Engineer Award; and the 1993 Automated Imaging Association National Award for Technology Development.

Gonzalez is author or co-author of over 100 technical articles, two edited books, and four textbooks in the fields of pattern recognition, image processing and robotics. His books are used in over 500 universities and research institutions throughout the world. He is listed in the prestigious Marquis Who's Who in America, Marquis Who's Who in Engineering, Marquis Who's Who in the World, and in 10 other national and international biographical citations. He ii the co-holder of two U.S. Patents, and has been an associate editor of the IEEE Transactions on Systems, Man and Cybernetics, and the International Journal of Computer and Information Sciences. He is a member of numerous professional and honorary societies, including Tau Beta Pi, Phi Kappa Phi, Eta Kapp Nu, and Sigma Xi. He is a Fellow of the IEEE.

Richard E. Woods earned his B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Tennessee, Knoxville. His professional experiences range from entrepreneurial to the


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Customer Reviews

This book starts off with the very basics of the subject.
Sujith
This book is the best textbook on image processing for senior/graduate students majoring in engineering or computer science.
calvinnme
And once you start reading the book, you realize how much the book lives upto this.
Musaad Haider

Most Helpful Customer Reviews

36 of 38 people found the following review helpful By calvinnme HALL OF FAMETOP 1000 REVIEWERVINE VOICE on December 10, 2005
Format: Hardcover Verified Purchase
This book is the best textbook on image processing for senior/graduate students majoring in engineering or computer science. Although a knowledge of calculus and linear algebra is presumed, it is a very accessible textbook. Chapters one and two consist of very basic background information. The concepts of linearity, pixel distance measures, spatial versus gray scale resolution, and zooming and shrinking are explained. Chapter 3 is about image inhancement in the spatial domain, and includes discussions on contrast enhancement, histogram processing and equalization, and histogram matching. The idea of filtering images via an NxN kernel mask is also introduced. Chapter 4 is about filtering in the frequency domain. The 2D Fourier transform is introduced and it is explained how filtering can take place using this transform. Chapter five discusses image restoration. This includes Weiner filtering and minimum mean square error filtering. Chapter six discusses color image processing. This chapter discusses the various color spaces - RGB, CMYK, HSI, and how the transforms mentioned up to this point in the book can be performed in color. Chapter 7 is about wavelets and multiresolution processing. This chapter is a good solid presentation of wavelets and their usage in image processing. I would suggest that anyone interested in this subject start here before they read another book, since the presentation is clearer here than in books dedicated to the subject. Chapter 8 is about image compression. Basics of information theory are discussed, and lossy as well as lossless methods of compression are discussed. As a good follow-on to the previous chapter, the role of wavelets in compression is discussed.Read more ›
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25 of 27 people found the following review helpful By Edgardo Felipe on June 3, 2002
Format: Hardcover
I've been a senior researcher in Image Processing for more than 20 years, and my opinion of the book Digital Image Processing of Gonzalez and Woods, is that it is significantly superior to current books on image processing. The contents of the books are in the mainstream of work in this field, and the level of coverage is complete and written at a level that makes it an ideal textbook for seniors and first-year graduate students. The experience of the authors shows through in the way the material is presented and illustrated. The complementary web site is an outstanding teaching aid.
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13 of 14 people found the following review helpful By A Customer on March 11, 2002
Format: Hardcover
As a computer engineering senior with a strong interest in image processing and vision, I found this book very helpful.
The exemples are varied and interesting, the maths are easy to understand and the design is very clear. Obviously, it supposes the reader has some mathematical background, but nothing impossible for an undergraduate student.
It is also very complete: it goes from very basic image processing concepts (defining pixels, the RGB format) to more complex topics like pattern recognition and wavelet compression.
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18 of 21 people found the following review helpful By William E. Blass on July 11, 2002
Format: Hardcover
This volume covers the waterfront of image processing from a reasonable introductory level. Refreshingly, it is much more than a cookbook. The authors pay attention to the physical principles that imaging and image manipulation are based on. With many quality images and examples, there is much for the less mathematically inclined to cut their teeth on while brushing up on their advanced math skills. The inclusion of many well chosen problems makes the book a valuable volume in a student's library. The book's associated web-site is a major bonus for the reader. I did find that some of the figure captions were challenging to interpret but the problem does not seem pervasive. Overall, I liked the book. It is a valuable addition to the image processing literature and to the image processing textbook selection.
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9 of 10 people found the following review helpful By Musaad Haider on May 9, 2006
Format: Hardcover
The preface of this book starts with a quote:

"When something can be read without effort, great effort has gone into its writing".

And once you start reading the book, you realize how much the book lives upto this. Everything is written clearly and importany points are stressed again and again in each topic until you become fully familiar with them. Topics are written with implementation in mind, as you can get started with writing your own code instantly.

The book makes the subject as interseting as it gets, and although some existing basic concepts of mathematics and statistics are quite helpful while reading, but you dont even have to be familiar with Digital Signal Processing to fully understand the contents.

Finally, I'd like to say that out of the few poeple that fully understand a concept, fewer have the gift to deliver their knowledge to others, and the authors of this book have that gift.
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9 of 10 people found the following review helpful By Anand Manohar on November 2, 2005
Format: Hardcover
This book is an excellent book for people who are new to Digital Image Processing and dont have any back ground on signal processing. The book explains the concept straight forward without confusing with signal processing concepts. The book gets a 5 star because it makes an effort to explain the image processing techniques in an orderly fashion starting with image acquisition and pixel brightness to object recognition in the final chapter. Excellent book for undergraduate and graduate Digital Image Processing students. A good reference book for people in image processing field.
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