Description: Metaheuristic Algorithms for Image Segmentation: Theory and Applications Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Diego Oliva, Mohamed Abd Elaziz, Salvador Hinojosa Format: Paperback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030129330, 978-3030129330 Synopsis This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation problems can be solved from an optimization perspective. The field of image processing is constantly changing due to the extensive integration of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images. Metaheuristic algorithms have also been used in various fields of science and technology as the demand for new methods designed to solve complex optimization problems increases. This didactic book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics. It is also suitable for courses such as artificial intelligence, advanced image processing, and computational intelligence. The material is also useful for researches in the fields of evolutionary computation, artificial intelligence, and image processing.
Price: 73.05 GBP
Location: Aldershot
End Time: 2025-01-26T08:49:16.000Z
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Book Title: Metaheuristic Algorithms for Image Segmentation: Theory and Ap...
Number of Pages: 226 Pages
Publication Name: Metaheuristic Algorithms for Image Segmentation: Theory and Applications
Language: English
Publisher: Springer Nature Switzerland A&G
Item Height: 235 mm
Subject: Engineering & Technology, Computer Science
Publication Year: 2020
Type: Textbook
Item Weight: 379 g
Author: Mohamed Abd Elaziz, Diego Oliva, Salvador Hinojosa
Item Width: 155 mm
Series: Studies in Computational Intelligence
Format: Paperback
