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Can lend chapters, not whole ebooks
Title
Advances and applications of optimised algorithms in image processing / Diego Oliva, Erik Cuevas.
ISBN
9783319485508 (electronic book)
3319485504 (electronic book)
9783319485492
3319485490
Imprint
Cham, Switzerland : Springer, 2017.
Language
English
Description
1 online resource.
Other Standard Identifiers
10.1007/978-3-319-48550-8 doi
Call Number
TA1637
Dewey Decimal Classification
006.6
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, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Series
Intelligent systems reference library ; v. 117.
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.
