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Advances and Applications of Optimised Algorithms in Image Processing

Intelligent Systems Reference Library 117

By (author) Diego Oliva, Erik Cuevas
Format: Hardback
Publisher: Springer International Publishing AG, Cham, Switzerland
Published: 30th Nov 2016
Dimensions: w 156mm h 234mm d 13mm
Weight: 452g
ISBN-10: 3319485490
ISBN-13: 9783319485492
Barcode No: 9783319485492
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Synopsis
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.

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"This book examines the application of optimization to common problems in image processing: segmentation, template matching, and shape detection. ... Readers interested in improving the accuracy or performance of image processing systems would do well to read this book." (Creed Jones, Computing Reviews, May, 2017)