The Image Processing Handbook, Sixth Edition Review

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(More customer reviews)This book reads like a user manual for an engineering image processing toolkit. In fact, that is exactly what it is -- the author sells a companion CD that is a set of image processing plug-ins to PhotoShop. However, you will not need to buy his toolkit to find this book valuable. Any image processing package that you use will be of greater use to you if you have this book at your side. The important thing to realize is that this is a handbook for technical USERS. It is not a programming manual for how to implement the techniques it discusses, but a very high-quality discussion of what the techniques are and when and why you would use them. Within that domain, the book has remarkable depth and clarity. It is quite up-to-date in its coverage, and draws extensively from real-world applications in medicine, microscopy, and satellite imaging. If you need to develop image processing procedures in your work as an engineer, you will want to have this book by your side.

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Whether obtained by microscopes, space probes, or the human eye, the same basic tools can be applied to acquire, process, and analyze the data contained in images. Ideal for self study, The Image Processing Handbook, Sixth Edition, first published in 1992, raises the bar once again as the gold-standard reference on this subject. Using extensive new illustrations and diagrams, it offers a logically organized exploration of the important relationship between two-dimensional images and the three-dimensional structures they reveal.Provides Hundreds of Visual Examples in FULL COLOR!The author focuses on helping readers visualize and compare processing and measurement operations and how they are typically combined in fields ranging from microscopy and astronomy to real-world scientific, industrial, and forensic applications. Presenting methods in the order in which they would be applied in a typical workflow-from acquisition to interpretation-this book compares a wide range of algorithms used to:Improve the appearance, printing, and transmission of an imagePrepare images for measurement of the features and structures they revealIsolate objects and structures, and measure their size, shape, color, and positionCorrect defects and deal with limitations in imagesEnhance visual content and interpretation of detailsThis handbook avoids dense mathematics, instead using new practical examples that better convey essential principles of image processing. This approach is more useful to develop readers' grasp of how and why to apply processing techniques and ultimately process the mathematical foundations behind them.Much more than just an arbitrary collection of algorithms, this is the rare book that goes beyond mere image improvement, presenting a wide range of powerful example images that illustrate techniques involved in color processing and enhancement. Applying his 50-year experience as a scientist, educator, and industrial consultant, John Russ offers the benefit of his image processing expertise for fields ranging from astronomy and biomedical research to food science and forensics. His valuable insights and guidance continue to make this handbook a must-have reference.

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Multi-Sensor Image Fusion and Its Applications (Signal Processing and Communications) Review

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(More customer reviews)It should come as no surprise that viewing things with different sensors produce images that are different. Looking at two or more images side by side may well not provide enough information to the brain for a combined or fused image to appear. This book is on computer processing of multiple images to present a combined image that provides a human with an enhanced picture containing more useful information than the two separate images.
Blum and Liu are editors of the book. They are contributors to some of the chapters, the other chapters are written by an international group of experts in various fields. Contributors come from Canada, France, England, Czech Republic, Australia, The Netherlands, and all around the US.
The book is a combined technical work on producing fused images along with application notes on the use of fused images in various applications such as medical imagery, surveillance and navigation, various industrial applications and more. There are twenty eight pages of color images most of which contain multiple images.
This book represents the state of the art in image fusion as it exists today.

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Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies.After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, nondestructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation.Supplying a 28-page full-color insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.

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Digital Image Processing for Medical Applications Review

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(More customer reviews)The most accessible book on imaging on the market. Written in a clear and direct style, with lots of figures and example questions. Comes with exercises that you can use with ImageJ. It doesn't overwhelm you with math, but uses it sparingly and always explains the background. This is a great book either for self-study or as a classroom textbook. It should also be of interest to those already working in medical imaging. Just the clearest, most user-friendly imaging book out there ...

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Image processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from www.cambridge.org/books/dougherty.

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Biosignal and Medical Image Processing, Second Edition (Signal Processing and Communications) Review

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(More customer reviews)This book has too many typos, especially in important equations. That is very confusing to students who have no idea about signal processing.
And, I don't like the paper used to print this book. I prefer regular printing papers rather than the "mirror" paper that makes my eyeballs tired.

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A Practical Guide to Signal Processing MethodologyJust as a cardiologist can benefit from an oscilloscope-type display of the ECG without a deep understanding of electronics, an engineer can benefit from advanced signal processing tools without always understanding the details of the underlying mathematics. Through the use of extensive MATLAB examples and problems, Biosignal and Medical Image Processing, Second Edition provides readers with the necessary knowledge to successfully evaluate and apply a wide range of signal and image processing tools.The book begins with an extensive introductory section and a review of basic concepts before delving into more complex areas. Topics discussed include classical spectral analysis, basic digital filtering, advanced spectral methods, spectral analysis for time-variant spectrums, continuous and discrete wavelets, optimal and adaptive filters, and principal and independent component analysis. In addition, image processing is discussed in several chapters with examples taken from medical imaging. Finally, new to this second edition are two chapters on classification that review linear discriminators, support vector machines, cluster techniques, and adaptive neural nets. Comprehensive yet easy to understand, this revised edition of a popular volume seamlessly blends theory with practical application. Most of the concepts are presented first by providing a general understanding, and second by describing how the tools can be implemented using the MATLAB software package.Through the concise explanations presented in this volume, readers gain an understanding of signal and image processing that enables them to apply advanced techniques to applications without the need for a complex understanding of the underlying mathematics.A solutions manual is available for instructors wishing to convert this reference to classroom use.

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2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications Review

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(More customer reviews)A definitive and comprehensive review of current literature and the most cutting edge technologies in the field of image registration. Very well organized and written. A must-have for computer specialists.

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To master the fundamentals of image registration, there is no more comprehensive source than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of image registration, the author presents their underlying algorithms. You'll also discover cutting-edge techniques to use in remote sensing, industrial, and medical applications. Examples of image registration are presented throughout, and the companion Web site contains all the images used in the book and provides links to software and algorithms discussed in the text, allowing you to reproduce the results in the text and develop images for your own research needs. 2-D and 3-D Image Registration serves as an excellent textbook for classes in image registration as well as an invaluable working resource.

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Biosignal and Medical Image Processing (Signal Processing and Communications) Review

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(More customer reviews)This book assumes that you have both a prior knowledge of Matlab and of signal processing concepts. It spends the first three chapters going over measurement and transducer systems, basic signals and systems, and classical methods of spectral analysis. Even though these chapters are meant to be a quick review, there are some Matlab implementations of basic algorithms in each chapter. Chapter four introduces digital filters and shows Matlab implementations of both IIR and FIR filters. A special treat of chapter four is that some time is spent introducing the reader to the Matab signal processing toolkit. Now that the basics of digital filtering have been introduced, more advanced signal processing techniques are tackled. These include modern methods of spectral analysis and also time-frequency analysis using such methods as the Wigner-Ville distribution. Again, in all cases, the equations are concise, the prose is very accessible, and all concepts are demonstrated using Matlab programs. There is a separate chapter devoted to the wavelet transform and to its use in filter banks, denoising, and feature detection. Quite frankly, I found this chapter far more accessible than entire books that have been devoted to the subject, especially if you are interested in getting to the heart of the matter and using wavelets to perform a task. Two more chapters round out the section of the book on general signal processing techniques- one is about adaptive filters and another on principal component analysis. The final four chapters of the book concern themselves with image processing and Matlab, and the Matlab image processing toolkit in particular. You should already be familiar with the basic concepts behind image processing, and as with the signal processing portion of this book, the point is to have a single text with all of the relevant signal processing techniques briefly described along with Matlab code for the purpose of biosignal processing. However, even if you are not a biomedical engineer, and I am not, you should find this book helpful in the general sense of producing implementations of signal processing concepts. This book would also be helpful for biometric professionals since it goes into great detail on how to turn biological features into measurements that can be processed and compared.

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Relying heavily on MATLAB problems and examples, as well as simulated data, this text/reference surveys a vast array of signal and image processing tools for biomedical applications, providing a working knowledge of the technologies addressed while showcasing valuable implementation procedures, common pitfalls, and essential application concepts. The first and only textbook to supply a hands-on tutorial in biomedical signal and image processing, it offers a unique and proven approach to signal processing instruction, unlike any other competing source on the topic. The text is accompanied by a CD with support data files and software including all MATLAB examples and figures found in the text.

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