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Advances in Soft Computing and Machine Learning in Image Processing: 730 Softcover reprint of the original 1st ed. 2018 Edition
Author(s): Aboul Ella Hassanien (Editor), Diego Alberto Oliva
- Publisher: Springer
- Publication Date: 9 Sept. 2018
- Edition: Softcover reprint of the original 1st ed. 2018
- Language: English
- Print length: 730 pages
- ISBN-10: 3319876279
- ISBN-13: 9783319876276
Book Description
This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.
The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.
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From the Back Cover
This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.
The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.
