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)

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