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Digital Image Processing (Englisch) Taschenbuch – 20. Dezember 2001

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Produktinformation

  • Taschenbuch: 793 Seiten
  • Verlag: Prentice Hall International; Auflage: 2nd International edition (20. Dezember 2001)
  • Sprache: Englisch
  • ISBN-10: 0130946508
  • ISBN-13: 978-0130946508
  • Größe und/oder Gewicht: 18,1 x 2,6 x 23,4 cm
  • Durchschnittliche Kundenbewertung: 4.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: Nr. 557.062 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.

Buchrückseite

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.
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4 von 4 Kunden fanden die folgende Rezension hilfreich Von Al See am 9. November 2009
Format: Taschenbuch
Zu meinem Hintergrund: Ich leite eine Bildverarbeitungsgruppe in der Industrie und habe bereits mitunter Gastvorträge in Bildverarbeitungsvorlesungen gehalten.

Zum Buch, ohne alle Kapitel einzeln durchzugehen: Dieses Buch bietet eine hervorragende Einführung in die digitale Bildverarbeitung:

- Gut und verständlich geschrieben
- Gute, übersichtliche Darstellung (inklusive Bildmaterial)
- Gute Gliederung
- Einfache mathematische Darstellung (Weniger komplex als für Profis mitunter erforderlich, aber dennoch nicht oberflächlich)
- Ständig aktualisiert

Gerade der letzte Punkt ist nicht unwichtig. Es gibt eine Vielzahl von "Standardwerken", die zur Zeit ihres Erscheinens sehr gut waren, dann allerdings in immer neuen Ausgaben publiziert wurden, ohne ernsthaft aktualisiert zu werden. Diese "Buchreihe" ist jedoch sowohl von der grafischen Darstellung als auch vom Inhalt her zeitgemäß. Das heißt aber auch, dass es sich lohnt, die jeweils neuste Ausgabe zu erwerben.
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 19 Rezensionen
36 von 38 Kunden fanden die folgende Rezension hilfreich
The best comprehensive image processing textbook 10. Dezember 2005
Von calvinnme - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
This book is the best textbook on image processing for senior/graduate students majoring in engineering or computer science. Although a knowledge of calculus and linear algebra is presumed, it is a very accessible textbook. Chapters one and two consist of very basic background information. The concepts of linearity, pixel distance measures, spatial versus gray scale resolution, and zooming and shrinking are explained. Chapter 3 is about image inhancement in the spatial domain, and includes discussions on contrast enhancement, histogram processing and equalization, and histogram matching. The idea of filtering images via an NxN kernel mask is also introduced. Chapter 4 is about filtering in the frequency domain. The 2D Fourier transform is introduced and it is explained how filtering can take place using this transform. Chapter five discusses image restoration. This includes Weiner filtering and minimum mean square error filtering. Chapter six discusses color image processing. This chapter discusses the various color spaces - RGB, CMYK, HSI, and how the transforms mentioned up to this point in the book can be performed in color. Chapter 7 is about wavelets and multiresolution processing. This chapter is a good solid presentation of wavelets and their usage in image processing. I would suggest that anyone interested in this subject start here before they read another book, since the presentation is clearer here than in books dedicated to the subject. Chapter 8 is about image compression. Basics of information theory are discussed, and lossy as well as lossless methods of compression are discussed. As a good follow-on to the previous chapter, the role of wavelets in compression is discussed. Chapter 9 discusses morphological image processing, which is that field of image processing that relies on the systematic "fattening" and "thinning" of edges to enhance images. Chapters 10,11, and 12 are a sort of introduction to computer vision topics. Chapter 10 discusses how to segment an image. Chapter 11 is about image descriptors that quantify segmented portions of an image. Chapter 12 is about object recognition and even has a short section on statistical classifiers. This book is a joy to read, and will make the topic of image processing very clear. There are plenty of diagrams, formulas, and equations listed. There are no examples to speak of, but algorithms are clearly specified so that I don't think that the book suffers because of the lack of examples. All engineering textbooks should be this well written. I particularly recommend this book as a reference for students and practitioners of robotics, video processing, and computer vision, since there are image processing considerations in all of these fields that this book will clarify.
25 von 27 Kunden fanden die folgende Rezension hilfreich
A non-commonly found textbook on Digital Image Processing 3. Juni 2002
Von Edgardo Felipe - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
I've been a senior researcher in Image Processing for more than 20 years, and my opinion of the book Digital Image Processing of Gonzalez and Woods, is that it is significantly superior to current books on image processing. The contents of the books are in the mainstream of work in this field, and the level of coverage is complete and written at a level that makes it an ideal textbook for seniors and first-year graduate students. The experience of the authors shows through in the way the material is presented and illustrated. The complementary web site is an outstanding teaching aid.
13 von 14 Kunden fanden die folgende Rezension hilfreich
A very good textbook 11. März 2002
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
As a computer engineering senior with a strong interest in image processing and vision, I found this book very helpful.
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.
18 von 21 Kunden fanden die folgende Rezension hilfreich
Serious Image Processing for Students and Practitioners 11. Juli 2002
Von William E. Blass - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
This volume covers the waterfront of image processing from a reasonable introductory level. Refreshingly, it is much more than a cookbook. The authors pay attention to the physical principles that imaging and image manipulation are based on. With many quality images and examples, there is much for the less mathematically inclined to cut their teeth on while brushing up on their advanced math skills. The inclusion of many well chosen problems makes the book a valuable volume in a student's library. The book's associated web-site is a major bonus for the reader. I did find that some of the figure captions were challenging to interpret but the problem does not seem pervasive. Overall, I liked the book. It is a valuable addition to the image processing literature and to the image processing textbook selection.
9 von 10 Kunden fanden die folgende Rezension hilfreich
Simply Excellent! Fully Justifies Its Price! 9. Mai 2006
Von Musaad Haider - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
The preface of this book starts with a quote:

"When something can be read without effort, great effort has gone into its writing".

And once you start reading the book, you realize how much the book lives upto this. Everything is written clearly and importany points are stressed again and again in each topic until you become fully familiar with them. Topics are written with implementation in mind, as you can get started with writing your own code instantly.

The book makes the subject as interseting as it gets, and although some existing basic concepts of mathematics and statistics are quite helpful while reading, but you dont even have to be familiar with Digital Signal Processing to fully understand the contents.

Finally, I'd like to say that out of the few poeple that fully understand a concept, fewer have the gift to deliver their knowledge to others, and the authors of this book have that gift.
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