Image Processing: The Fundamentals / Edition 1

Image Processing: The Fundamentals / Edition 1

by Maria Petrou, Panagiota Bosdogianni
     
 

Image processing has been one of the most active areas of research in recent years. The techniques involved have found significant applications in areas as diverse as video-conferencing, image communication, robotics, geoscience and medicine. From intelligent cars that drive themselves to key-hole surgery, this enormous impact on society is expected to change our… See more details below

Overview

Image processing has been one of the most active areas of research in recent years. The techniques involved have found significant applications in areas as diverse as video-conferencing, image communication, robotics, geoscience and medicine. From intelligent cars that drive themselves to key-hole surgery, this enormous impact on society is expected to change our lives radically. Providing a step by step guide to the basic principles underlying all image processing tasks, this volume is the result of 11 years of teaching experience.
Features numerous worked examples, guiding the reader through the intricacies of reaching the solutions.
Explains the concepts introduced using small sized images that the reader can manipulate without the use of computers.
Allows the reader to appreciate the 'nuts and bolts' of each method, the issues involved and the problems that may be encountered in real applications.
Presents detailed mathematical explanations at two levels - an easy-to-follow narrative with minimum use of mathematics, and a higher level that uses mathematical rigour.Image Processing: The Fundamentals is an ideal self-teaching aide and will prove an invaluable companion for research students in related fields. Alternative techniques are demonstrated for each image allowing the reader to appreciate subtle differences between them.

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Product Details

ISBN-13:
9780471998839
Publisher:
Wiley
Publication date:
01/28/2000
Pages:
354
Product dimensions:
6.93(w) x 9.74(h) x 0.99(d)

Table of Contents

Image Transformations.

Statistical Description of Images.

Image Enhancement.

Two-Dimensional Filters.

Image Restoration.

Image Segmentation and Edge Detection.

Bibliography.

Index.

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