Fundamentals of Digital Image Processing (Paperback)

Chris Solomon

ISBN 10: 0470844736 / ISBN 13: 9780470844731

Editore: John Wiley & Sons Inc, New York, 2010

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Paperback. 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. Fundamentals of Digital Image Processing is an introductory text on the science of image processing. The stand-alone text employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition, drawing on specific examples from within science, medicine, and electronics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9780470844731

Dati bibliografici

Titolo: Fundamentals of Digital Image Processing (...

Casa editrice: John Wiley & Sons Inc, New York

Data di pubblicazione: 2010

Legatura: Paperback

Condizione: new

Edizione: prima edizione

Descrizione articolo

Riassunto:

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

Clearly divided into eleven distinct chapters, the book beginswith a fast-start introduction to image processing  toenhance the accessibility of later topics. Subsequent chaptersoffer increasingly advanced discussion of topics involving morechallenging concepts, with  the final chapter  looking atthe application of automated image classification (with Matlabexamples) .

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

• Features a companion website www.wiley.com/go/solomon/fundamentalscontaining a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to allfiles corresponding to the examples and exercises within the bookitself.
• Includes numerous examples, graded exercises and computerexperiments to support both students and instructors alike.

Recensione:

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)