Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing.
Digital Image Processing
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From the reviews: a welcome resource. The algorithm discussions do not depend on any toolkit, allowing ready translations to other environments, as I have found with OpenGL shaders. Useful either as a reference or as a textbook ... a very accessible textbook in image processing, quite suitable for undergraduate courses Starts with very fundamental concepts of digital images and goes through quite sophisticated algorithms with sound mathematical basis ... providing a deeper understanding of the algorithms. This will be one my continuing reference books for some time to come. Steve Cunningham, PhD Past SIGGRAPH President and Chair An excellent resource, I highly recommend. Wayne Rasband, Author of ImageJ, U.S. National Institutes of Health (NIH) "This modern, self-contained, textbook explains the fundamental algorithms of digital image processing through practical examples and complete Java implementations. Available for the first time in English, Digital Image Processing is the definitive textbook for students, researchers, and professionals in search of critical analysis and modern implementations of the most important algorithms in the field. … Self-contained chapters and additional online material suitable for a flexible one- or two semester course." (www.amazon.com, December 2007) "This book teaches the basic algorithms used in image processing and implements many of these algorithms in ImageJ. … The book succeeds at showing the mathematics of each transform, of showing pseudocode for each algorithm, and implementing various algorithms in complete code. Each chapter has exercises for the student, and I found the textbook to be well illustrated and well written." (www.amazon.com, December 2007) "This book is an introduction to image processing and analysis in the deeper sense, covering the structure of digital images … and the basic algorithms involved in image processing. It is intended for advanced undergraduates and graduate students, as well as computer professionals. … The text is accompanied by a number of images … as well as clear and well-designed diagrams where appropriate. Good exercises for each chapter are given." (Jeffrey Putnam, Computing Reviews, March, 2009)
Synopsis
Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. "Digital Image Processing in Java" is the definitive textbook for computer science students studying image processing and digital processing.
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Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis
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12 von 12 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen
Discusses the basics of image processing using Java
12. Dezember 2007
Von calvinnme
- Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
This book teaches the basic algorithms used in image processing and implements many of these algorithms in ImageJ. ImageJ is open source and denotes both a stand-alone Java application and a library of image transformations written in Java. The book succeeds at showing the mathematics of each transform, of showing pseudocode for each algorithm, and implementing various algorithms in complete code. Each chapter has exercises for the student, and I found the textbook to be well illustrated and well written. The book assumes you have mathematical maturity through calculus and that you already know how to program in Java. The book does take the time to explain ImageJ to you, although if you know Java working with another API/library should be easy to handle. The following is the table of contents:
Crunching Pixels.
Digital Images.
ImageJ.
Histograms.
Point Operations.
Filters.
Edges and Contours.
Corner Detection.
Detecting Simple Curves.
Morphological Filters.
Regions in Binary Images.
Color Images.
Introduction to Spectral Techniques.
The Discrete Fourier Transform in 2D.
The Discrete Cosine Transform (DCT).
Geometrical Operations.
Comparing Images.
Appendices
A Mathematical Notation.
B Java Notes.
C ImageJ Short Reference.
D Source Code.
If you want to preview the code to get an idea of the level of sophistication of the solutions offered, just go to the book's website and you can download the source code offered there. This book is good, but I still think if you want the definitive guide to the subject you want to get "Digital Image Processing 3rd Edition" by Gonzalez and Woods. That book is quite accessible and gets into all of the theory of digital image processing. That book paired with this one should cover both theory and implementation quite well.
Crunching Pixels.
Digital Images.
ImageJ.
Histograms.
Point Operations.
Filters.
Edges and Contours.
Corner Detection.
Detecting Simple Curves.
Morphological Filters.
Regions in Binary Images.
Color Images.
Introduction to Spectral Techniques.
The Discrete Fourier Transform in 2D.
The Discrete Cosine Transform (DCT).
Geometrical Operations.
Comparing Images.
Appendices
A Mathematical Notation.
B Java Notes.
C ImageJ Short Reference.
D Source Code.
If you want to preview the code to get an idea of the level of sophistication of the solutions offered, just go to the book's website and you can download the source code offered there. This book is good, but I still think if you want the definitive guide to the subject you want to get "Digital Image Processing 3rd Edition" by Gonzalez and Woods. That book is quite accessible and gets into all of the theory of digital image processing. That book paired with this one should cover both theory and implementation quite well.
5 von 5 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen
highly recommend
28. Januar 2008
Von Dorman G. Lambright
- Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
This book is very well organized, and the content is exactly what I have been looking for. It met my needs as far as helping me with my own image processing, as well as for training microscopists in a core facility in image processing. Really really fantastic - thorough content, clear and easy to follow, from basic processing concepts on to specific applications in Java (in particular ImageJ). GREAT!!! I really appreciate the authors translating this - and it is very well translated!
5 von 5 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen
Great book - applicable to real-world problems!
9. Januar 2008
Von NerdGirl
- Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
I have been waiting for this book a long time! A German colleague had the German edition and was always pulling out solutions from it. Now, I no longer need to rely on him. This book provides many great explanations and methods that really work, including code (which is also downloadable from the website that accompanies this book). As a medical doctor, scientist, and engineer, I appreciate the practicality of such a technical book that does not get lost in the mathematics. I deal with a variety of medical images all the time and have been looking for a book like this for myself and other colleagues in the field who want to get started in solving their own image processing problems. It has great examples of all the basic methods as well as some pretty advanced ones I am starting to get into. For instance, the color chapter has 70 pages and lots of details. It's also a very good value for a full color 500+ page, 3+ pound book and gives you alot of bang for your buck! I have purchased alot of image processing books in the past, but I am definitely keeping this one...
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