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 Author: Oliva, Diego.
Other Authors: Cuevas, Erik.
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: Intelligent systems reference library ; v. 117.
Subjects:
Image processing > Digital techniques > Data processing.
Image processing > Digital techniques > Mathematics.
elektronické knihy
electronic books
ISBN: 9783319485508
9783319485492
Physical Description: 1 online resource

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Table of contents

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100 1 |a Oliva, Diego. 
245 1 0 |a Advances and applications of optimised algorithms in image processing /  |c Diego Oliva, Erik Cuevas. 
260 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Intelligent systems reference library,  |x 1868-4394 ;  |v volume 117 
504 |a Includes bibliographical references. 
505 0 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Image processing  |x Digital techniques  |x Data processing. 
650 0 |a Image processing  |x Digital techniques  |x Mathematics. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Cuevas, Erik. 
776 0 8 |i Print version:  |a Oliva, Diego.  |t Advances and applications of optimised algorithms in image processing.  |d Cham, Switzerland : Springer, 2017  |z 3319485490  |z 9783319485492  |w (OCoLC)959594242 
830 0 |a Intelligent systems reference library ;  |v v. 117. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-48550-8  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99594  |d 99594 
993 |x NEPOSILAT  |y EIZ 

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