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

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Product Description

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.

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

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

if experienced 2.5 stars
if beginner 4.0 stars

To all whom read, please have in mind this grade is my subjective opinion on how well it fit my situation and background.

The book will enable the reader to use matlab functions. A very short but effective theoretical explanation of each of the concepts is given just prior to it's application(I assume that his was the intent of the author since it is application based). The chapters are easy to read and become more valuable as the book approaches the end. Code examples of embedded functions are provided and their applications is thoroughly explained.

The book in my opinion could be half it's size, most of the concepts are over-explained. This is good if you are new in image processing, but if you have some experience, it starts being boring and you start skipping text. The functions are not designed from scratch but merely applied to problems - though the discussions of effects and their potentials are very concisely explained.

In my opinion this is a book that you will grow out in a matter of 30-40 days, with a decent overview and good introduction.

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