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Digital Image Processing [Englisch] [Taschenbuch]

Rafael C. Gonzalez , Richard E. Woods
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Kurzbeschreibung

4. Juli 2008

For courses in Image Processing and Computer Vision.

 

Completely self-containedâ and heavily illustratedâ 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 processingâ 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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Produktinformation

  • Taschenbuch: 954 Seiten
  • Verlag: Addison Wesley; Auflage: 3rd International edition. (4. Juli 2008)
  • Sprache: Englisch
  • ISBN-10: 013505267X
  • ISBN-13: 978-0135052679
  • Größe und/oder Gewicht: 18 x 23,6 cm
  • Durchschnittliche Kundenbewertung: 4.5 von 5 Sternen  Alle Rezensionen anzeigen (2 Kundenrezensionen)
  • Amazon Bestseller-Rang: Nr. 57.446 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

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Produktbeschreibungen

Synopsis

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.

Über den Autor und weitere Mitwirkende

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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4.5 von 5 Sternen
4.5 von 5 Sternen
Die hilfreichsten Kundenrezensionen
4.0 von 5 Sternen Sehr gutes Buch! 8. März 2013
Von EZet
Format:Taschenbuch|Verifizierter Kauf
Ein sehr hilfreiches und uebersichtliches Buch mit guten Grafiken und Abbildungen. Nur nicht unbedingt fuer den Physik- bzw. Mathematik-Laien unbedingt geeignet...
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4 von 7 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Hervorragendes Lehrbuch 3. Januar 2008
Format:Gebundene Ausgabe
Im Bereich Bildverarbeitung zeugt eine qualitativ hochwertige Literaturdichte von vielen guten Lösungen und Lösungsansätzen der letzten gut 30-40 Jahre. Eines der Lehrbücher, die wirklich immer auf einen guten aktuellen Stand gebracht werden und das nicht nur in der Universitätslehre großen Einfluss hat, ist dieses "Standardwerk" von Gonzales und Woods.

Neben den umfangreichen Erläuterungen und Literaturempfehlungen, werden zu den jeweiligen Kapitelen viele Aufgaben angeboten. Dieses Buch sollte trotz seines recht hohen Anschaffungspreises in keiner guten Haus- oder Bürobibliothek fehlen.
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com: 3.7 von 5 Sternen  21 Rezensionen
9 von 9 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Very Good book 24. September 2011
Von MOHAMMAD M NAJAR - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
This is a very good book on Image Processing that gives a lot of examples as it explains a new concept. Highly recommended if you are going to learn image processing from scratch or just want to use it as a reference. However, I do NOT recommend the other version of this book that deals with MATLAB.
9 von 9 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Even better than the first edition 5. Oktober 2008
Von ¯ - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
This book is a wonderful read about image processing. Having read most of the 1st edition (yes I'm reading all of the 3rd), I can say that this 3rd edition is larger (yet not insurmountable) with more examples, explanations, mathematical development and new material. I'm currently in the chapter about frequency domain processing and must say that the previous chapter about spatial domain processing is more robust, even now including a good introduction to fuzzy logic. Anyhow, with a good background in applied math and Matlab programming, this material is easy reading for me, but should also be accessible enough for anyone with a general technical background.
6 von 6 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Good text book 8. Juni 2011
Von Ayla Khan - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
Very good and comprehensive text, which could be improved with more concrete examples, algorithm pseudo-code and more extensive treatment of processing colour images. Otherwise, this book is a good introduction to image processing.
5 von 5 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Understood quite a lot... 3. Juni 2013
Von Ari Telias - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
This is a good introduction to image processing.
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.

Best Regards
Ari
4 von 4 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen The best in the field 16. Juni 2012
Von Fabricio Ferrari - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
Gonzalez & Woods (3rd ed) is not only the best single reference in the field of image processing, but it is also one of the best technical books I ever read, in any field. Text and examples are clear, mathematics is at the right level to be precise, formal and understandable as well. You'll learn a lot about many things in this book.
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