Advances and Applications of Optimised Algorithms in Image Processing

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 optimizati...

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Bibliographic Details
Main Authors: Oliva, Diego (Author), Cuevas, Erik (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edition:1st ed. 2017.
Series:Intelligent Systems Reference Library, 117
Subjects:
Computational intelligence.
Signal processing.
Artificial intelligence.
Computational Intelligence.
Signal, Speech and Image Processing.
Artificial Intelligence.
Online Access:Full-text access
Description
Summary: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 co.
Physical Description:XIII, 178 p. 53 illus. online resource.
ISBN:9783319485508
ISSN:1868-4408 ;
DOI:10.1007/978-3-319-48550-8

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