Advances and applications of optimised algorithms in image processing / Diego Oliva, Erik Cuevas.
By: Oliva, Diego.
Contributor(s): Cuevas, Erik.
Material type: 
E-bookSeries: (Intelligent systems reference library, 1868-4394 ; volume 117).Publisher: Cham, Switzerland : Springer, 2017Description: 1 recurso en línea.ISBN: 3319485504; 9783319485508.Subject: Proceso de imágenesOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
|
Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | Q342 .O458 2017 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.20022553 |
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
| Q342 .N493 2018 EB New Advances in the Internet of Things | Q342 .N498 2015 EB New Trends in Computational Collective Intelligence | Q342 .N644 2018 EB Reduction of the Pareto Set An Axiomatic Approach | Q342 .O458 2017 EB Advances and applications of optimised algorithms in image processing | Q342 .O685 2017 EB Optical character recognition systems for different languages with soft computing | Q342 .P477 2018 EB Personal Assistants: Emerging Computational Technologies | Q342 .P763 2016 EB Proceedings of 4th International Conference in Software Engineering for Defence Applications : SEDA 2015 |
SpringerLink
Incluye referencias bibliográficas
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.
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.
There are no comments on this title.