Advances in Soft Computing and Machine Learning in Image Processing

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide a...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hassanien, Aboul Ella (Editor), Oliva, Diego Alberto (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Series:Studies in Computational Intelligence, 730
Subjects:
Computational intelligence.
Artificial intelligence.
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
Online Access:Full-text access
Description
Summary:This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.
Physical Description:XII, 718 p. 309 illus., 195 illus. in color. online resource.
ISBN:9783319637549
ISSN:1860-9503 ;
DOI:10.1007/978-3-319-63754-9

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