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.
"synopsis" may belong to another edition of this title.
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. Supplementary material and problems are provided on the associated book website: www.wiley.com/go/solomon/fundamentals
Dr Chris Solomon, Applied Optics Group, School of Physical Sciences, The University of Kent, Canterbury, Kent, UK.
Dr Stuart Gibson, VisionMetric, Canterbury, Kent, UK.
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Paperback. Condition: new. 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 multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780470844731
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