Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab

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9780470844724: Fundamentals of Digital Image Processing: 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 www.wiley.com/go/solomon/fundamentals containing a Matlab fast-start primer, further  exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself.
  • Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

From the Back Cover :

Fundamentals of Digital Image Processing provides a comprehensive introduction to the science of image processing. Key concepts and techniques are thoroughly explained and the theory is complemented and consolidated with numerous practical examples and code fragments.

Fundamentals of Digital Image Processing focuses on the essential elements in image processing techniques and is suitable both for beginners and for experienced researchers. A ‘Fast-Start’ appendix is included for those with no prior knowledge of Matlab and supplementary material and problems are provided on the associated book website:

www.wiley.com/go/solomon

  • An accessible introduction to image processing for students and researchers alike
  • Associated with the Matlab programming language to enhance understanding of the practical aspects of the subject
  • A complimentary website featuring solutions to the exercises, a forum for discussion and accessibility to files corresponding to the examples and exercises within the book.
  • Contains clear examples, exercises and computer experiments which enable the reader to quickly test, verify and experiment in an instructive and interactive way.
  • Includes applications such as medical imaging and Geographic Information Systems

Review :

“Given the timely topic and its user-friendly structure, this book can therefore target a suite of users, from students to experienced researchers willing to integrate the science of image processing to strengthen their research.”  (Ethology Ecology & Evolution, 1 May 2013)

"For undergraduate and graduate students as well as professionals, Solomon (physical sciences, U. of Kent, UK) and Breckon (engineering, Cranfield U., UK) provide a simple introduction to the science of modern image processing and pattern recognition, their key concepts and techniques, and theory." (Booknews, 1 April 2011)

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Chris Solomon, Toby P. Breckon
Edité par John Wiley and Sons Ltd, United States (2011)
ISBN 10 : 0470844728 ISBN 13 : 9780470844724
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Description du livre John Wiley and Sons Ltd, United States, 2011. Hardback. État : New. 1. Auflage. Language: English . Brand New Book. 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 containing a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself. Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike. N° de réf. du libraire AAH9780470844724

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Chris Solomon, Toby P. Breckon
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Description du livre John Wiley and Sons Ltd, United States, 2011. Hardback. État : New. 1. Auflage. Language: English . Brand New Book. 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 containing a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself. Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike. N° de réf. du libraire AAH9780470844724

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