Advances and Applications of Optimised Algorithms in Image Processing

Advances and Applications of Optimised Algorithms in Image Processing

ISBN-10:
3319839691
ISBN-13:
9783319839691
Pub. Date:
07/07/2018
Publisher:
Springer International Publishing
ISBN-10:
3319839691
ISBN-13:
9783319839691
Pub. Date:
07/07/2018
Publisher:
Springer International Publishing
Advances and Applications of Optimised Algorithms in Image Processing

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.


Product Details

ISBN-13: 9783319839691
Publisher: Springer International Publishing
Publication date: 07/07/2018
Series: Intelligent Systems Reference Library , #117
Edition description: Softcover reprint of the original 1st ed. 2017
Pages: 178
Product dimensions: 6.10(w) x 9.25(h) x (d)

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

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