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Image Processing and Acquisition Using Python: Applications to Medicine and Biology (Chapman & Hall/CRC Mathematical and Computational Imaging Sc) (Englisch) Gebundene Ausgabe – 13. März 2014

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"This multi-disciplinary image processing guide hits the mark when targeting the introductory college-level user who is interested in an open source solution that is scalable. By approaching the topics in a broad and horizontal fashion, Ravi Chityala and Sridevi Pudipeddi have created a very practical resource that should have broad impact and appeal across multiple physical and biological disciplines while using multiple imaging modalities. This new book uses an intuitive and efficient structure to describe basic acquisition hand-in-hand with image processing topics using the open source Python coding and even provides pre-packed installations. The authors present an effective approach to address the typical requirement of prerequisite image acquisition, computational knowledge, and/or hardware requirements by carefully balancing programming, math, and computer requirements, making image processing accessible to students and high-end users alike in multiple disciplines." -Mark A. Sanders, Program Director, University Imaging Centers, University of Minnesota "This is a well-suited companion for any introductory course on image processing. The concepts are clearly explained and well illustrated through examples and Python code provided to the reader. The code allows the reader to readily apply the concepts to any images at hand, which significantly simplifies the understanding of image processing concepts. This is what makes this book great. I recommend this book to researchers and students who are looking for an introduction to image processing and acquisition." -Martin Styner, University of North Carolina at Chapel Hill "I am a faculty member with specialization in biomechanics and have often found it hard to conceptualize the fundamentals of image processing. That is until I found this book. Image Processing and Acquisition using Python is unique in that it offers an in-depth understanding of the foundation of mathematics associated with image analysis. Ravi Chityala and Sridevi Pudipeddi provide accessible examples with sample codes to show how the theories are applied. This can be very useful to beginning learners and also for researchers (having Python sample code can be very handy to prototype a solution). This book touches all the fundamental topics on image processing, such as pre/post processing using filters, segmentation, morphological operations, and measurements, and also an in-depth discussion on image acquisition using various modalities like x-ray, CT, MRI, light microscopy, and electron microscopy. All the topics are explained clearly and easily. I would highly recommend this book and cannot praise enough the logical and well-written format that it is presented in." -Augusto Gil Pascoal, Laboratory of Biomechanics and Functional Morphology, University of Lisbon "This is a book that every imaging scientist should have on his or her desk ... students and researchers need a course or a book to learn both image acquisition and image processing using a single source, and this book, as a well-rounded introduction to both topics, serves that purpose very well. ... the authors have done a great job of covering the most commonly used image acquisition modalities ... a handy compendium of the most useful information. ... As a long-time Perl user, I had no problem installing Python and trying several useful examples from the book." -From the Foreword by Alexander Zamyatin, Distinguished Scientist, Toshiba Medical Research Institute USA, Inc.

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Well Written and Understandable; Important for Anyone Involved in Image Processing 29. Oktober 2015
Von D - Veröffentlicht auf
Format: Gebundene Ausgabe Verifizierter Kauf
This is an informative and well written text. I teach college chemistry and mathematics and I have no computer programming experience. I found the text to be very readable with excellent descriptions and images. The mathematics was clear and understandable. Each chapter has an introduction that brings the reader back to what was previously learned and ties the concepts together.
The text begins with a brief introduction to Python and describes the most popular Python modules that are relevant to image processing. It then explains concepts that are important to image enhancement in both the spatial domain and the frequency domain. This is followed by chapters on morphological operations and image measurement. Finally, the text explores image acquisition through the use of X-rays, computed tomography, magnetic resonance imaging, and both light and electron microscopes.
In addition to being a text that is appropriate for a course on image processing, I would advise that any scientist or medical professional who deals with imaging should read this. It will provide you with a better understanding of imaging that will greatly enhance your appreciation of the process and will enable you to achieve results in experimentation more effectively.
1 von 3 Kunden fanden die folgende Rezension hilfreich
Great book 4. Juli 2014
Von Dave - Veröffentlicht auf
Format: Gebundene Ausgabe Verifizierter Kauf
I found this book to be a very helpful introduction to image processing algorigthms for my research. It is well written and for me (a spectroscopist with an interest in expanding my expertise to image processing and python) the level of depth is just about perfect.
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