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...

Full description

Saved in:
Bibliographic Details
Main Author: Oliva, Diego.
Other Authors: Cuevas, Erik.
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: Intelligent systems reference library ; v. 117.
Subjects:
ISBN: 9783319485508
9783319485492
Physical Description: 1 online resource

Cover

Table of contents

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.
Bibliography: Includes bibliographical references.
ISBN: 9783319485508
9783319485492
ISSN: 1868-4394 ;
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty