Image Processing and Acquisition using Python
Ravishankar Chityala
Sridevi Pudipeddi
CRC Press
Taylor & Francis Group
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2015 by Taylor & Francis Group
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Version Date: 20150825
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CHAPMAN & HALL/CRC
MATHEMATICAL AND COMPUTATIONAL
IMAGING SCIENCES
Series Editors
Chandrajit Bajaj
Center for Computational Visualization
The University of Texas at Austin
Guillermo Sapiro
Department of Electrical
and Computer Engineering
Duke University
Aims and Scope
This series aims to capture new developments and summarize what is known over the whole spectrum of mathematical and computational imaging sciences. It seeks to encourage the integration of mathematical, statistical and computational methods in image acquisition and processing by publishing a broad range of textbooks, reference works and handbooks. The titles included in the series are meant to appeal to students, researchers and professionals in the mathematical, statistical and computational sciences, application areas, as well as interdisciplinary researchers involved in the field. The inclusion of concrete examples and applications, and programming code and examples, is highly encouraged.
Published Titles
Image Processing for Cinema
by Marcelo Bertalmo
Image Processing and Acquisition using Python
by Ravishankar Chityala and Sridevi Pudipeddi
Statistical and Computational Methods in Brain Image Analysis
by Moo K. Chung
Rough Fuzzy Image Analysis: Foundations and Methodologies
by Sankar K. Pal and James F. Peters
Theoretical Foundations of Digital Imaging Using MATLAB
by Leonid P. Yaroslavsky
Proposals for the series should be submitted to the series editors above or directly to:
CRC Press, Taylor & Francis Group
3 Park Square, Milton Park, Abingdon, OX14 4RN, UK
To our parents and siblings
Foreword
I first met one of the authors, Dr. Ravishankar (Ravi) Chityala, in 2006 when he was a PhD student at the Toshiba Stroke Research Center, SUNY-Buffalo. Ravis PhD work in medical imaging was fruitful and influential, and I have been following his post-PhD career ever since. In reading this book, I was impressed by the fact that, despite Ravis current focus on computing and visualization, his knowledge of medical imaging has only deepened and expanded, which has enabled him, along with his co-author, Dr. Sridevi Pudipeddi, to write a very competent treatment of the subject of medical imaging. Thus, it is a pleasure for me to write a foreword to this very good book.
This is a book that every imaging scientist should have on his or her desk because image acquisition and processing is becoming a standard method for qualifying and quantifying experimental measurements. Moreover, I believe 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 topics treated are complex, but the authors have done a great job of covering the most commonly used image acquisition modalities, such as x-ray and computed tomography, magnetic resonance imaging, and microscopes, concisely and effectively, providing a handy compendium of the most useful information.
As Confucius said, I see and I remember, I do and I understand; this book aims to provide hands-on learning that enables the reader to understand the concepts explained in the book by means of applying the various examples written in the Python code. But do not be discouraged if you have never used Python or any other script language since learning it is very straightforward. As a long-time Perl user, I had no problem installing Python and trying several useful examples from the book. Most of the equations provided in the book are accompanied by codes that can be quickly run and modified for the reader to test new ideas and apply to his or her own research.
Being a medical imaging scientist myself, I really enjoyed reading the sections on x-ray, computed tomography and magnetic resonance imaging. The authors provide a well-balanced introduction to these modalities and cover all the important aspects of image acquisition, as well as image reconstruction and artifacts correction. The authors also provide a large number of references to other books and papers for readers interested in learning more details.