Diego Oliva & Erik Cuevas 
Advances and Applications of Optimised Algorithms in Image Processing [PDF ebook] 

Ajutor

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 communities.

€96.29
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Cuprins

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

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Limba Engleză ● Format PDF ● Pagini 178 ● ISBN 9783319485508 ● Mărime fișier 8.4 MB ● Editura Springer International Publishing ● Oraș Cham ● Țară CH ● Publicat 2016 ● Descărcabil 24 luni ● Valută EUR ● ID 5017201 ● Protecție împotriva copiilor DRM social

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