Advances and Applications of Optimised Algorithms in Image Processing
Author:   Diego Oliva ,  Erik Cuevas
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
Volume:   117
ISBN:  

9783319839691


Pages:   178
Publication Date:   05 July 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advances and Applications of Optimised Algorithms in Image Processing


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Overview

This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing.   The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.

Full Product Details

Author:   Diego Oliva ,  Erik Cuevas
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
Volume:   117
Dimensions:   Width: 15.50cm , Height: 1.00cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783319839691


ISBN 10:   3319839691
Pages:   178
Publication Date:   05 July 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

An introduction to machine learning.-  Optimization.-  Electromagnetism – Like Optimization Algorithm: An Introduction.-  Digital image segmentation as an optimization problem.- Template matching using a physical inspired algorithm.-Detection of circular shapes in digital images.-  A medical application: Blood cell segmentation by circle detection.- An EMO Improvement: Opposition-Based Electromagnetism-Like for Global Optimization

Reviews

This book examines the application of optimization to common problems in image processing: segmentation, template matching, and shape detection. ... Readers interested in improving the accuracy or performance of image processing systems would do well to read this book. (Creed Jones, Computing Reviews, May, 2017)


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