Companion WebSite for Digital Image Processing, 3rd Edition
For courses in Image Processing and Computer Vision.
Completely self-contained–and heavily illustrated–this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline. The leading textbook in its field for more than twenty years, it continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing–e.g., image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition. It focuses on material that is fundamental and has a broad scope of application.
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A book that continues to builds on highly successful earlier editions and the author's twenty+ years of academic and industrial experience in image processing.
Material is timely, highly readable, and illustrated with numerous examples of practical significance.
Companion Website - Provides both students and instructors with additional support material
• For students the site contains a number of tutorials on background material such as probability, statistics, vectors, and matrices (prepared at a basic level and written using the same notation as in the book), and detailed solutions to many of the exercises in the book.
• For instructors the site features suggested teaching outlines, classroom presentation materials, laboratory experiments, and various image databases (including all images from the book). In addition, most of the material removed from the previous edition is stored in the website for easy download and classroom use, at the discretion of the instructor.
Accessible mathematical complexity.
• Ensures understanding by students who have introductory preparation in mathematical analysis, vectors, matrices, probability, statistics, and rudimentary computer programming.
• Ensures easy comprehension of material, especially for today's visual learners.
Chapter-end Problem sets.
• Provides students with more opportunities for hands-on practice.
Gives students and instructors quick-access to resources for further study.
New to This Edition
This edition of Digital Image Processing is a major revision and is based on the most extensive survey the authors have ever conducted. The survey involved faculty, students, and independent readers of the book in 134 institutions from 32 countries. The results have prompted the following new and reorganized material:
- Expanded homework sets, including over 80 new problems.
- New examples and illustrations involving over 400 new images and more than 200 new drawings and tables.
- Companion web site has been redesigned and upgraded to correspond to this new edition.
- A revision of introductory concepts that provides readers with foundation material much earlier in the book than before.
- A revised and updated discussion of intensity transformation, spatial correlation, convolution, and their application to spatial filtering.
- New discussion of fuzzy sets and their application to image processing.
- A new chapter on the discrete Fourier transform and frequency domain processing.
- New coverage of computerized tomography.
- Additional examples dealing with wavelets.
- A new chapter on data compression, including new compression techniques, digital video compression, standards, and watermarking.
- New coverage of morphological reconstruction, gray-scale morphology, and advanced morphological algorithms.
- New coverage of the Marr-Hildreth and Canny edge detection algorithms.
- Expanded coverage of image thresholding.
- Updated bibliography
Table of Contents
Chapters end with a Summary, References and Further Reading, and Problems.
2. Digital Image Fundamentals.
3. Image Enhancement in the Spatial Domain.
4. Image Enhancement in the Frequency Domain.
5. Image Restoration.
6. Color Image Processing.
7. Wavelets and Multiresolution Processing.
8. Image Compression.
9. Morphological Image Processing.
10. Image Segmentation.
Websites and online courses
Companion WebSite for Digital Image Processing, 3rd Edition
Other Student Resources
Bridge Page t/a A First Course
Ullman & Widom
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About the Author(s)
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<
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