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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Oliva, Diego (Συγγραφέας), Cuevas, Erik (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Intelligent Systems Reference Library, 117
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Oliva, Diego.  |e author. 
245 1 0 |a Advances and Applications of Optimised Algorithms in Image Processing  |h [electronic resource] /  |c by Diego Oliva, Erik Cuevas. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a XIII, 178 p. 53 illus.  |b online resource. 
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490 1 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |v 117 
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. 
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. 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Computational intelligence. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Signal, Image and Speech Processing. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Cuevas, Erik.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319485492 
830 0 |a Intelligent Systems Reference Library,  |x 1868-4394 ;  |v 117 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-48550-8  |z Full Text via HEAL-Link 
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950 |a Engineering (Springer-11647)