Chapman   Hall CRC mathematical and computational imaging sciences  Chityala  Ravishankar  Pudipeddi  Sridevi Image Processing and Acquisition using Python CRC Press  2014
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Chapman Hall CRC mathematical and computational imaging sciences Chityala Ravishankar Pudipeddi Sridevi Image Processing and Acquisition using Python CRC Press 2014


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\u201cThis 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.\u201d
\u2014Martin Styner, University of North Carolina at Chapel Hill
\u201cImage 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. \u2026 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.\u201d
\u2014Augusto Gil Pascoal, University of Lisbon
Image Processing and Acquisition using Python provides you with 
a sound foundation in both image acquisition and image processing, 
uniquely integrating these topics. By improving your knowledge of 
image acquisition techniques and corresponding image processing, 
the book will help you perform experiments more effectively and cost 
efficiently as well as analyze and measure more accurately. Long 
recognized as one of the easiest languages for non-programmers to 
learn, Python is used in a variety of practical examples.
K19004
Chapman & Hall/CRC
Mathematical and Computational Imaging Sciences
Image Processing 
and Acquisition 
using Python
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Sridevi Pudipeddi
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Biomedical Science/Computer Science
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Image Processing 
and Acquisition 
using Python
K19004_FM.indd 1 1/13/14 10:25 AM
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 Bertalmío 
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
K19004_FM.indd 2 1/13/14 10:25 AM
Chapman & Hall/CRC
Mathematical and Computational Imaging Sciences
Image Processing 
and Acquisition 
using Python
Ravishankar Chityala
University of Minnesota at Minneapolis 
USA
Sridevi Pudipeddi
SriRav Scientific Solutions
Minneapolis, Minnesota, USA
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MATLAB® is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant 
the accuracy of the text or exercises in this book. This book\u2019s use or discussion of MATLAB® software or related 
products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach 
or particular use of the MATLAB® software.
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Taylor & Francis Group
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To our parents and siblings
Contents
List of Figures xvii
List of Tables xxiii
Foreword xxv
Preface xxvii
Introduction xxxi
About the Authors xxxiii
List of Symbols and Abbreviations xxxv
I Introduction to Images and Computing using
Python 1
1 Introduction to Python 3
1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . 3
1.2 What is Python? . . . . . . . . . . . . . . . . . . . . . 4
1.3 Python Environments . . . . . . . . . . . . . . . . . . 5
1.3.1 Python Interpreter . . . . . . . . . . . . . . . . 6
1.3.2 Enthought Python Distribution (EPD) . . . . . 6
1.3.3 PythonXY . . . . . . . . . . . . . . . . . . . . . 7
1.4 Running a Python Program . . . . . . . . . . . . . . . 8
1.5 Basic Python Statements and Data Types . . . . . . . 8
1.5.1 Data Structures . . . . . . . . . . . . . . . . . . 11
1.6 Summary . . . . . . . . . . . . . . . . . . . . . . . . . 19
vii
viii Contents
1.7 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . 20
2 Computing using Python Modules 23
2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . 23
2.2 Python Modules . . . . . . . . . . . . . . . . . . . . . 23
2.2.1 Creating Modules . . . . . . . . . . . . . . . . . 24