Engineering

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.

• NEW - A broader overview of the spectrum of applications of digital image processing (Ch. 1).

  • Designed to give the reader a solid understanding of the areas in which image processing is utilized.

• NEW - Digital image fundamentals (Ch. 2)—Focuses on how digital images are generated, and the closely related concepts of sampling, aliasing, Moiré patterns, and image zooming and shrinking.

  • Gives the reader a base of concepts and notation used throughout the book.

• NEW - Expanded (two-chapter) coverage on image enhancement—Image Enhancement in the Spatial Domain (Ch. 3) uses image enhancement as an interesting area in which to base learning of spatial processing techniques in general; Image Enhancement in the Frequency Domain (Ch. 4) covers the same concepts as in Ch. 3, but using the Fourier transform and frequency domain methods instead.

  • For students, increases the level of intuitiveness in the presentation, and for instructors provides flexibility in the amount of frequency-domain material they wish to cover.

• NEW - Image transforms—Now introduced earlier.

  • Allows instructors to begin discussion of image processing techniques much earlier than before.

• NEW - More intuitive presentation of image restoration (Ch. 5)—Avoids matrix-theory formulation and features numerous new examples. (The Companion Website provides alternative content for those instructors who prefer to follow a matrix-theory formulation.)

  • Makes the topic much more appealing and easier to follow for beginners.

• NEW - Full-chapter coverage of color image processing (Ch. 6)—Fully illustrated with color examples.

  • Provides students with a solid, accessible background in a topic that is becoming increasingly more important, especially in regard to the use of digital images for Internet applications.

• NEW - Unique new, full-chapter coverage of wavelets (Ch. 7)—The first introductory chapter of this topic in an image processing text.

  • Keeps students current with the developments in signal processing applications that are being motivated by the need for more sophisticated methods for image compression, a topic that is motivated by the increased number of images transmitted over the Internet or stored in web servers.

• NEW - Updated discussion of image compression (Ch. 8)—Features new compression methods and standards and a new section on compression using wavelets.

• NEW - New chapter on morphology (Ch. 9).

• NEW - Updated coverage of segmentation using morphological watersheds (Ch. 10).

• NEW - Numerous new examples—With processed images of higher resolution.

• NEW - Over 500 new images, 200 new line drawings, and more than 300 problems.

• NEW - Expanded chapter-end problem sets.

  • Provides students with more opportunities for hands-on practice.

• NEW - Updated bibliography.

  • Gives students and instructors quick-access to resources for further study.

• NEW - Companion Website—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.

  • Provides both students and instructors with additional support material.

• Accessible mathematical complexity.

  • Ensures understanding by students who have introductory preparation in mathematical analysis, vectors, matrices, probability, statistics, and rudimentary computer programming.

• Heavily illustrated.

  • Ensures easy comprehension of material, especially for today's visual learners.

• A broader overview of the spectrum of applications of digital image processing (Ch. 1).

  • Designed to give the reader a solid understanding of the areas in which image processing is utilized.

• Digital image fundamentals (Ch. 2)—Focuses on how digital images are generated, and the closely related concepts of sampling, aliasing, Moiré patterns, and image zooming and shrinking.

  • Gives the reader a base of concepts and notation used throughout the book.

• Expanded (two-chapter) coverage on image enhancement—Image Enhancement in the Spatial Domain (Ch. 3) uses image enhancement as an interesting area in which to base learning of spatial processing techniques in general; Image Enhancement in the Frequency Domain (Ch. 4) covers the same concepts as in Ch. 3, but using the Fourier transform and frequency domain methods instead.

  • For students, increases the level of intuitiveness in the presentation, and for instructors provides flexibility in the amount of frequency-domain material they wish to cover.

• Image transforms—Now introduced earlier.

  • Allows instructors to begin discussion of image processing techniques much earlier than before.

• More intuitive presentation of image restoration (Ch. 5)—Avoids matrix-theory formulation and features numerous new examples. (The Companion Website provides alternative content for those instructors who prefer to follow a matrix-theory formulation.)

  • Makes the topic much more appealing and easier to follow for beginners.

• Full-chapter coverage of color image processing (Ch. 6)—Fully illustrated with color examples.

  • Provides students with a solid, accessible background in a topic that is becoming increasingly more important, especially in regard to the use of digital images for Internet applications.

• Unique new, full-chapter coverage of wavelets (Ch. 7)—The first introductory chapter of this topic in an image processing text.

  • Keeps students current with the developments in signal processing applications that are being motivated by the need for more sophisticated methods for image compression, a topic that is motivated by the increased number of images transmitted over the Internet or stored in web servers.

• Updated discussion of image compression (Ch. 8)—Features new compression methods and standards and a new section on compression using wavelets.

• New chapter on morphology (Ch. 9).

• Updated coverage of segmentation using morphological watersheds (Ch. 10).

• Numerous new examples—With processed images of higher resolution.

• Over 500 new images, 200 new line drawings, and more than 300 problems.

• Expanded chapter-end problem sets.

  • Provides students with more opportunities for hands-on practice.

• Updated bibliography.

  • Gives students and instructors quick-access to resources for further study.

• Companion Website—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.

  • Provides both students and instructors with additional support material.

Chapters end with a Summary, References and Further Reading, and Problems.

1. Introduction.

Image and Computer Vision [CORE TEXTS] (Electrical and Computing Engineering)
Image Processing (Computer Science)

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.

• Digital Image Processing, 3/E
  Gonzalez & Woods
  © 2008 | Prentice Hall | Cloth; 976 pages | Instock
  ISBN-10: 013168728X | ISBN-13: 9780131687288
  Brief Description | Buy from myPearsonStore
  

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.

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 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.

View a Sample Chapter PDF:

• Companion Website -Gonzalez, 2/E
  Gonzalez & Woods
  © 2002 | Prentice Hall | On-line Supplement | Instock
  ISBN-10: 0130656127 | ISBN-13: 9780130656124
  URL: http://www.prenhall.com/gonzalezwoods
  
  
  

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Pearson Higher Education offers special pricing when you choose to package your text with other student resources. If you're interested in creating a cost-saving package for your students contact your Pearson Higher Education representative.