Fundamentals of Digital Image Processing

Chris Solomon, Toby Breckon · ISBN 9780470844731
Fundamentals of Digital Image Processing | Jekkle Textbooks | Zookal Textbooks
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Publisher John Wiley & Sons (UK)
Author(s) Chris Solomon / Toby Breckon
Subtitle A Practical Approach with Examples in Matlab
Edition 1
Published 20th December 2010
Related course codes MFET4015 Machine Learning and Vision Systems

A Practical Approach with Examples in Matlab

This is an introductory to intermediate level text on the science
of image processing, which employs the Matlab programming language
to illustrate some of the elementary, key concepts in modern image
processing and pattern recognition. The approach taken is
essentially practical and the book offers a framework within which
the concepts can be understood by a series of well chosen examples,
exercises and computer experiments, drawing on specific examples
from within science, medicine and engineering.

Clearly divided into eleven distinct chapters, the book begins
with a fast-start introduction to image processing  to
enhance the accessibility of later topics. Subsequent chapters
offer increasingly advanced discussion of topics involving more
challenging concepts, with  the final chapter  looking at
the application of automated image classification (with Matlab
examples) .

Matlab is frequently used in the book as a tool for
demonstrations, conducting experiments and for solving problems, as
it is both ideally suited to this role and is widely available.
Prior experience of Matlab is not required and those without access
to Matlab can still benefit from the independent presentation of
topics and numerous examples.

  • Features a companion website href="">
    containing a Matlab name="_GoBack">fast-start primer, further 
    exercises, examples, instructor resources and accessibility to all
    files corresponding to the examples and exercises within the book

  • Includes numerous examples, graded exercises and computer
    experiments to support both students and instructors alike.


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