Product Description

Morphological image processing, now a standard part of the imaging scientist’s toolbox, can be applied to a wide range of industrial applications. Concentrating on applications, this book shows how to analyze a problem and then develop successful algorithms based on the analysis. The book is hands-on in a very real sense: readers can download a demonstration toolbox of techniques and images from the Web so they can process the images according to examples in the text.

Product Details

• Amazon Sales Rank: #994921 in Books
• Published on: 2003-07-24
• Original language: English
• Number of items: 1
• Binding: Paperback
• 272 pages

Customer Reviews

Expository and practical
Great combination of theoretic underpinnings, pithy practical insights, and worked examples with pictures. I can't think of a better introduction to this material (this is the kind of subject that can easily be presented in such a way as to be simultaneously mathematically rigorous and expository and yet not impart any practical feel for the material)
The accompanying downloadable Matlab toolbox is excellent but the library functions don't include source code (for the functions) and it expires in just 30 days unless you buy it (and it's not cheap if you're not a student). Matlab source code is a great way to learn and verify what you've learned. Perhaps 90 days would've been better. The toolbox is more comprehensive and its watershed algorithm seems to be better than what's in the morphological component of Matlab's Image Processing Toolbox.
I would like to see more on the gray scale morphological techniques for some of the latter topics and some more on pattern recognition/machine vision topics but I guess that isn't central to the topic. There does appear to be a few errors/typos but nothing significant.

A powerful learning tool for mathematical morphology
The morphological approach to signal and image processing is interesting because it combines the riguor of mathematics with the intuition of the morphological description of the data.

The first books describing the subjects, written by J. Serra were diffcult to read because they were written in a very formal language.

Recently, Pierre Soille wrote a very precise and still understandable book entitled "Morphological Image Analysis" which describes the state of the art methods used in mathematical Morphology. This book illustrates the theoretical algorithms with many industrial applications.

The book "Hands-on Morphological Image Processing" adds another brick to the mathematical morphology wall by providing the first, to my knowledge, powerful learning tool in the field. I recommend this book for two reasons :

First, it precisely describes the basic morphological image processing methods such as erosion, dilation, opening, closing and Hit or Miss transform. The advanced concepts of generalized dynamics, connected filtering as well as segmentation by watershed and hierarchcical segmentation are also covered. It is interseting to note that all these concepts can be applied to 1D, 2D or nD data such as signal image and volume, like MRI scans. The concepts of bounded operators and infinite domain
are also covered. A good intuition is provided about the class of connected filters for binary and numeric images, based on reconstruction algorithms. Finally, I particularly appreciated the section devoted to binary and numeric granulometry. This section leads to the interseting and complex field of tecture segmentation.

Second it offers for free to the student a complete toolbox where all the described methods are implemented. This toolbox, called pymorph, is written in Python and can be downloaded from http://sourceforge.net/projects/pymorph. Furthermore, this book is illustarted by many pedagogical figures that describe the application of the concepts to practical cases. The documentation, in html format is complete and easy to use. The data as well as the algorithms are available in
http://www.dca.fee.unicamp.br/~lotufo/handson.

To conclude, I consider this book and the python project which goes with it as a very valuable pedagogical tool for anybody interested in the field of Mathematical Morphology. I think that that the possibility of computing the figures enclosed in the book by issuing some python or matlab commands help the student to notably increase the depth of his knowledge.

Dr. Michel Kocher
Professor of Image Processing
Geneva Technical University

Really good book
Gives you lots of different examples when explaning making sure that you understand from at least one angle.