- Hardcover: 976 pages
- Publisher: Pearson; 3 edition (August 31, 2007)
- Language: English
- ISBN-10: 013168728X
- ISBN-13: 978-0131687288
- Product Dimensions: 7.1 x 1.5 x 9.4 inches
- Shipping Weight: 3.5 pounds (View shipping rates and policies)
- Average Customer Review: 61 customer reviews
Amazon Best Sellers Rank:
#620,137 in Books (See Top 100 in Books)
- #63 in Books > Computers & Technology > Graphics & Design > Computer Modelling > Imaging Systems
- #72 in Books > Engineering & Transportation > Engineering > Telecommunications & Sensors > Signal Processing
- #113 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Computer Vision & Pattern Recognition
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Digital Image Processing (3rd Edition) 3rd Edition
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From the Back Cover
THEleader in the field for more than twenty years, this introduction to basic concepts and methodologies for digital image processing continues its cutting-edge focus oncontemporarydevelopments inallmainstream areas of image processing. Completely self-contained, heavily illustrated, and mathematically accessible, it has a scope of application that is not limited to the solution of specialized problems.Digital Image Fundamentals. Image Enhancement in the Spatial Domain. Image Enhancement in the Frequency Domain. Image Restoration. Color Image Processing. Wavelets and Multiresolution Processing. Image Compression. Morphological Image Processing. Image Segmentation. Representation and Description. Object Recognition.For technicians interested in the fundamentals and contemporary applications of digital imaging processing
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 more traditional academic, consulting; governmental, and industrial pursuits. Most recently, he founded MedData Interactive, a high technology company specializing in the development of hand-held computer systems for medical applications. He was also a founder and Vice President of Perceptics Corporation, where he was responsible for the development of many of the company's quantitative image analysis and autonomous decision making products.
Prior to Perceptics and MedData, Dr. Woods was an Assistant Professor off Electrical Engineering and Computer Science at the University of Tennessee: and prior to that, a computer applications engineer at Union Carbide Corporation. As a consultant, he has been involved in the development of a number of special-purpose digital processors for a variety of space and military agencies, including NASA, the Ballistic Missile Systems Command, and the Oak Ridge National Laboratory.
Dr. Woods has published numerous articles related to digital signal processing and is a member of several professional societies, including Tau Beta Pi, Phi Kappa Phi, and the IEEE. In 1986, he was recognized as a Distinguished Engineering Alumnus of the University of Tennessee.
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Top customer reviews
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The first chapters introduce the readers to the fundamentals of human vision and how the brain processes light, contrast and color. The examples are clear and understandable.
As the book progresses, the subjects become more complex and mathematically-oriented. I found that I could follow up with those topics in which I had prior background, like intensity transformations, spatial filtering, filtering in the frequency domain, color image processing, image compression and image segmentation. In these topics I understood most of what they were explaining, except maybe the last pages of each chapter.
When it came to chapters where I was weaker or not familiar at all, I have to admit that I was able to keep up only with the first pages of each one. More specifically: Wavelets and multithreshold processing, morphological image processing, representation, fuzzy logic and object recognition. These chapters became muddy very quickly, and I only got a general feeling about what they were explaining.
Maybe someone with an electrical engineering background (myself being mechanical/software) would understand better the advanced topics.
I plan to read them again once I have a practical need or use for those areas.
The book does not contain code samples but it has quite a lot of practical use examples with pictures.
In summary, I understood roughly 65% of the book and would recommend it to anyone who needs a better understanding of image processing.
The book is highly recommended to everyone who want to learn theory for image.
I recommend also to by the book of the authors with examples in Matlab
My only criticism is that certain parts of chapters 7 and 8 seemed a bit too extensive for an introductory image processing text; however, they were still good chapters and so I don't think that it warrants a deduction of a star in my rating.
I highly recommend this text if you need to take an image processing course.
Most recent customer reviews
It was a first edition and is mostly out of date