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Advances and Applications of Optimised Algorithms in Image Processing

✍ Scribed by Diego Oliva, Erik Cuevas


Publisher
Springer
Year
2017
Tongue
English
Leaves
185
Series
Intelligent systems reference library 117
Edition
1st ed.
Category
Library

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✦ Synopsis


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.

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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.

✦ Table of Contents


Front Matter....Pages i-xiii
An Introduction to Machine Learning....Pages 1-11
Optimization....Pages 13-21
Electromagnetismβ€”Like Optimization Algorithm: An Introduction....Pages 23-41
Digital Image Segmentation as an Optimization Problem....Pages 43-91
Template Matching Using a Physical Inspired Algorithm....Pages 93-111
Detection of Circular Shapes in Digital Images....Pages 113-134
A Medical Application: Blood Cell Segmentation by Circle Detection....Pages 135-157
An EMO Improvement: Opposition-Based Electromagnetism-Like for Global Optimization....Pages 159-178

✦ Subjects


Image processing -- Digital techniques -- Data processing;Image processing -- Digital techniques -- Mathematics;COMPUTERS -- General


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