Morphological Image Analysis: Principles and Applications [Hardcover]

Pierre Soille (Author)

Book Description

ISBN-10: 3540429883 | ISBN-13: 978-3540429883 | Publication Date: June 24, 2004 | Edition: 2nd

From reviews of the first edition: "This is a scholarly tour de force through the world of morphological image analysis […]. I recommend this book unreservedly as the best one I have encountered on this particular topic […]" BMVA News

Editorial Reviews

Review

From reviews of the first edition - "This is a scholarly tour de force through the world of morphological image analysis, and, as its title indicates, it covers both the basic theory and the applications of the subject… All these concepts are well covered in this volume, with copious, very clear illustrations showing a myriad of images containing objects, textures and structures in both unprocessed and processed forms. Amongst the illustrations are also many useful diagrams, histograms, mappings and other mental aids. The subject is intricate and no stones are left unturned in explaining carefully what is meant, and relating the work to everyday experience. The author is clearly master of both the subject and its teaching … I recommend this book unreservedly as the best one I have encountered on this particular topic…" BMVA News From the reviews of the second edition: "Faced with the success of his book, the author felt the need to revise and expand it. … There are more algorithms and more applications, several of them coming from the author’s own work. Many added illustrations improve the understanding of morphological theory, and the bibliography at the end of each chapter has become impressive. … As its first edition, this book should appeal … to practitioners of image processing, who will find in it a wealth of efficient methods for various problems." (Christian Ronse, Mathematical Reviews, Issue 2004 c) "This book puts the emphasis firmly on solving real world practical problems which arise in many image processing applications. … It will be of most benefit to engineers and image processing specialists … . Each chapter has several examples and there are a number of case studies. … It is self-contained and aims to go well beyond an introduction … . This is the second edition and there are a number of significant additions, which reflect the developments in the field … ." (Stephen Marshall, IEE Proceedings Vision, Image & Signal Processing, September, 2003)

Language Notes

Text: English (translation)
Original Language: German

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Product Details

• Hardcover: 407 pages
• Publisher: Springer; 2nd edition (June 24, 2004)
• Language: English
• ISBN-10: 3540429883
• ISBN-13: 978-3540429883
• Product Dimensions: 9.5 x 6.3 x 1.2 inches
• Shipping Weight: 1.8 pounds (View shipping rates and policies)
• Average Customer Review: 4.4 out of 5 stars  See all reviews (7 customer reviews)
• Amazon Best Sellers Rank: #1,346,508 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

8 of 8 people found the following review helpful:

5.0 out of 5 stars An excellent textbook on mathematical morphology, July 6, 2000

By 

Hugues Talbot (Sydney, Australia) - See all my reviews

This review is from: Morphological Image Analysis: Principles and Applications (Hardcover)

This book serves as an introduction to image analysis in general and mathematical morphology in particular. In spite of its somewhat terrifying name, mathematical morphology is both a sound theory and an intuitive set of techniques useful for pattern recognition, image filtering, image segmentation, and taking measurements out of image content, among others.

This books provides a clear explanation of the theoretical background in a progressive and logical way. Examples and applications abound. The style is clear and concise.

The book covers most aspects of modern mathematical morphology and will satisfy the newcomers, thanks to its style, the practitioner thanks to its thoroughness and the researcher thanks to its extensive bibliography.

3 of 3 people found the following review helpful:

1.0 out of 5 stars wordy and rambling, not the book I need, September 29, 2004

By 

Mark Kornek "Mark" (Philadelphia, CA) - See all my reviews

This review is from: Morphological Image Analysis: Principles and Applications (Hardcover)

Part of what makes this text so difficult to understand is the author's inability to use consistent terms while trying to explain material. If you try to implement the pseudo-code in Matlab, you will find a lot of problems. Very dissapointed with the book.

4 of 5 people found the following review helpful:

5.0 out of 5 stars The more things change, the more they stay the same!, October 29, 2001

By 

"billforeman" (Santa Barbara, CA United States) - See all my reviews

This review is from: Morphological Image Analysis: Principles and Applications (Hardcover)

This book is written in an older formal style without being overly rigorous. Why is it that the best books, the ones that make you think, are so thin compared to the standard fare?

This book offers the most comprehensive treatment of morphology that I have been able to find. It concentrates on mophology and not on image processing. The other books I have looked at treat mophology in one or two chapters as compared to this book which is devoted to the subject.

Beware, this is not a cookbook. It is not for those looking for a quick fix or a bag of tricks. The math, although written in a formal style, does not require an advanced degree. Anyone with a solid foundation in set theory, geometry and algebra will find the book very readable--a little bit of analysis helps. But it will take time to absorb everything.

In addition to the theory, the book does an excellent job of relating the material to practical applications, as the title claims. However, it is up to the reader to see how various transformations might be combined into larger algorithms.

I am very pleased that I spent the money for this book. It is well worth it. I plan to spend a great deal time with it.

I found numerous web sites that provided information. Just search for "Morphological Image Analysis" and you will be surprised at what you find.