- 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: 25 customer reviews
- Amazon Best Sellers Rank: #1,145,485 in Books (See Top 100 in Books)
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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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After preparing the student with initial background material in the first two chapters, the authors illustrates a few spatial domain image treatments. In the first two chapter concepts such as linearity, pixel distance measures, spatial versus greyscale resolution, and shrinking and zooming are described. Chapter 3 discusses image enhancement in the spatial domain. Topics such as contrast enhancement, histogram matching, histogram processing, equalization etc. are explained.
Chapter 4 is about frequency domain transformation and processing. The author explains the 2-D Fourier transform. In my opinion, this is the best part of the book. The explanation of Fourier transform is not only lucid, it gives key insights into how the whole transformation of image from the spatial domain to the frequency domain is realized. This is done in a step by step manner so the reader may fully grasp the inner workings of the otherwise quite enigmatic Fourier transform. Moreover, it is explained how filtering can take place with the Fourier transform.
The subsequent chapters discuss more advanced topics such as image restoration and color image processing techniques, image compression. Lossy and lossless methods of compression are discussed.
Overall the book is quite fun to read and it makes the reader enthusiastic about the subject of image processing. Although it is assumed that the reader has some familiarity with calculus and linear algebra, it is still a very good resource for almost any student from any background interested in studying digital image processing.
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.
Most recent customer reviews
Bought this book based upon others' reviews. Was not disappointed.
I have a pretty strong background in DSP (1 dimensional signal...Read more
This book is a simple and very well written introduction to Image Processing.Read more
"When something can be read without effort, great effort has gone into its writing".Read more