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Digital Image Processing: An Algorithmic Introduction using Java [Format Kindle]

Mark James Burge
4.0 étoiles sur 5  Voir tous les commentaires (1 commentaire client)

Prix éditeur - format imprimé : EUR 63,29
Prix Kindle : EUR 46,54 TTC & envoi gratuit via réseau sans fil par Amazon Whispernet
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Descriptions du produit

Présentation de l'éditeur

"This will be one of my continuing reference books for some time to come."
Steve Cunningham, PhD, Past President of SIGGRAPH

"An excellent resource for the users of ImageJ."
Wayne Rasband, author of ImageJ

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.

• Practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of experience teaching this material

• Real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners

• Easily adaptable Java code and completely worked out examples for easy inclusion in existing, and rapid prototyping of new, applications

• Self-contained chapters and additional online material suitable for a flexible one- or two- semester course

• Uses ImageJ, the image processing system developed, maintained, and freely distributed by the U.S. National Institutes of Health (NIH)

• A comprehensive Website (www.imagingbook.com) with complete Java source code, test images, and additional instructor materials

This comprehensive, reader-friendly introduction is ideal for foundation courses as well as eminently suitable for self-study.

Wilhelm Burger is the director of the Digital Media degree programs at the Upper Austria University of Applied Sciences at Hagenberg.

Mark J. Burge is a program director at the National Science Foundation (NSF) and a principal at Noblis (Mitretek) in Washington, D.C.


Détails sur le produit

  • Format : Format Kindle
  • Taille du fichier : 16610 KB
  • Nombre de pages de l'édition imprimée : 566 pages
  • Editeur : Springer; Édition : 1st ed. 2008 (28 novembre 2007)
  • Vendu par : Amazon Media EU S.à r.l.
  • Langue : Anglais
  • ASIN: B002T24T2M
  • Synthèse vocale : Activée
  • X-Ray :
  • Word Wise: Non activé
  • Moyenne des commentaires client : 4.0 étoiles sur 5  Voir tous les commentaires (1 commentaire client)
  • Classement des meilleures ventes d'Amazon: n°332.453 dans la Boutique Kindle (Voir le Top 100 dans la Boutique Kindle)
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1 internautes sur 1 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Très bon livre 15 novembre 2009
Par Etournay
Format:Relié
Une excellente introduction à l'"image processing", en anglais.
A mettre dans les mains de tous les biologistes qui traitent des images issues de la microscopie. Mais pas seulement, ce livre donne les bases du traitement de l'image dans un contexte général.
Ce cours un peu théorique mais didactique est d'autant plus intéressant qu'il comporte une introduction raisonnée au logiciel ImageJ pour mettre tout cela en application. ImageJ est un logiciel pouvant être installé gratuitement sur les principaux systèmes d'exploitation (Linux, MacOSX, MSWindows). Et son code source est disponible. Très bonne stratégie !
Et pour les geeks, qui veulent se lancer dans la programmation Java de plugins, ce livre, grâce aux annexes B, C et D, permet de gagner beaucoup de temps dans la compréhension du logiciel ImageJ... C'est vraiment le livre qu'il me fallait.
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Amazon.com: 4.8 étoiles sur 5  17 commentaires
13 internautes sur 13 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Discusses the basics of image processing using Java 12 décembre 2007
Par calvinnme - Publié sur Amazon.com
Format:Relié
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.
5 internautes sur 5 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Great book - applicable to real-world problems! 9 janvier 2008
Par NerdGirl - Publié sur Amazon.com
Format:Relié
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...
5 internautes sur 5 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 highly recommend 28 janvier 2008
Par Dorman G. Lambright - Publié sur Amazon.com
Format:Relié
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!
3 internautes sur 3 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Even if you don't use Java 14 février 2010
Par Stephen T. Austin - Publié sur Amazon.com
Format:Relié|Achat vérifié
To appreciate this wonderful book, it isn't at all necessary that you intend to code in Java or use ImageJ as an image-processing tool. If you want to understand the machine vision algorithms that would be used in ANY language, this text is for you.

The concepts are well illustrated (important for this topic, of course), especially where it comes to how and why a certain image operation works.

I've read many other texts on this subject, and most were either too basic (without explaining why or how things are done), or far too deep in mathematical concepts. This was exactly right. If you understand at least the basics of matrices and calculus (1st year is plenty), you're fully equipped to understand 90% of this book. If you're like me, you may need to do a little side reading, but not much.

Like any text book, there are some errata, so be sure and download those from their web site, where they also supply all the sample code, and links to ImageJ if you want to use that too.

If you want one book on Image Processing, this is it.
3 internautes sur 3 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Priceless resource for toe stubbing Java-newbie-but-programming-oldie 27 août 2009
Par Ben Bighair - Publié sur Amazon.com
Format:Relié
I come to Java and ImageJ with a long-entrenched array-based programming background with pseudo-OO design. The leap to Java and ImageJ has been challenging and a rather steep climb for me. This book has really helped me over the hump not only in terms of Java constructs and ImageJ's architecture, but also in terms of providing a clear road map for good OO design. It may not have been the intention of the authors to provide lessons in OO design, but that is the chief value of this very readable book for me. In particular, I have found Chapter 11 (binary object analysis) extremely useful in my own work. In fact, I have re-engineered much of my own code based upon what I learned in this one chapter. I am looking forward to the portions on frequency analysis. My only wish is that the English translation had been ready when I started with Java and ImageJ three years ago - I might have greatly shortened my programming path. I encourage all ImageJ users to give Digital Image Processing a serious look, and to add it to the toolkit.
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