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Digital Image Processing Using MATLAB
Summary:Solutions to problems in the field of digital image processing generally require
extensive experimental work involving software simulation and testing with large sets of sample
images. Although algorithm development typically is based on theoretical underpinnings, the
actual implementation of these algorithms almost always requires parameter estimation and,
frequently, algorithm revision and comparison of candidate solutions. Thus, selection of a
flexible, comprehensive, and well-documented software development environment is a key
factor that has important implications in the cost, development time, and portability of image
processing solutions. In spite of its importance, surprisingly little has been written on this aspect
of the field in the form of textbook material dealing with both theoretical principles and software
implementation of digital image processing concepts. This book was written for just this purpose.
Its main objective is to provide a foundation for implementing image processing algorithms
using modern software tools. A complementary objective was to prepare a book that is
self-contained and easily readable by individuals with a basic background in digital image
processing, mathematical analysis, and computer programming, all at a level typical of that found
in a junior/senior curriculum in a technical discipline. Rudimentary knowledge of MATLAB also
is desirable. To achieve these objectives, we felt that two key ingredients were needed. The first
was to select image processing material that is representative of material covered in a formal
course of instruction in this field. The second was to select software tools that are well supported
and documented, and which have a wide range of applications in the "real" world. To meet the
first objective, most of the theoretical concepts in the following chapters were selected from
Digital Image Processing by Gonzalez and Woods, which has been the choice introductory
textbook used by educators all over the world for over two decades. The software tools selected
are from the MATLAB Image Processing Toolbox (IPT), which similarly occupies a position of
eminence in both education and industrial applications. A basic strategy followed in the
preparation of the book was to provide a seamless integration of well-established theoretical
concepts and their implementation using state-of-the-art software tools. The book is organized
along the same lines as Digital Image Processing. In this way, the reader has easy access to a
more detailed treatment of all the image processing concepts discussed here, as well as an
up-to-date set of references for further reading. Following this approach made it possible to
present theoretical material in a succinct manner and thus we were able to maintain a focus on
the software implementation aspects of image processing problem solutions. Because it works in
the MATLAB computing environment, the Image Processing Toolbox offers some significant
advantages, not only f in the breadth of its computational tools, but also because it is supported
under most operating systems in use today. A unique feature of this book is its emphasis on
showing how to develop new code to enhance existing MATLAB and IPT functionality This is an
important feature in an area such as image processing, which, as noted earlier, is characterized
by the need for extensive algorithm development and experimental work. After an introduction
to the fundamentals of MATLAB functions and programming, the book proceeds to address the
mainstream areas of image processing. The major areas covered include intensity
transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image
restoration and registration, color image processing, wavelets, image data compression,
morphological image processing, image segmentation, region and boundary representation and
description, and object recognition. This material is complemented by numerous illustrations of
how to solve image processing problems using MATLAB and IPT functions. In cases where a
function did not exist, a new function was written and documented as part of the instructional
focus of the book. Over 60 new functions are included in the following chapters. These functions
increase the scope of IPT by approximately 35 percent and also serve the important purpose of
further illustrating how to implement new image processing software solutions. The material is
presented in textbook format, not as a software manual. Although the book is self-contained, we
have established a companion Web site (see Section 1.5) designed to provide support in a
number of areas. For students following a formal course of study or individuals embarked on a
program of self study, the site contains tutorials and reviews on background material, as well as
projects and image databases, including all images in the book. For instructors, the site contains
classroom presentation materials that include PowerPoint slides of all the images and graphics
used in the book. Individuals already familiar with image processing and IPT fundamentals will
find the site a useful place for up-to-date references, new implementation techniques, and a host
of other support material not easily found elsewhere. All purchasers of the book are eligible to
download executable files of all the new functions developed in the text. As is true of most
writing efforts of this nature, progress continues after work on the manuscript stops. For this
reason, we devoted significant effort to the selection of material that we believe is fundamental,
and whose value is likely to remain applicable in a rapidly evolving body of knowledge. We trust
that readers of the book will benefit from this effort and thus find the material timely and useful
in their work.
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