Description: Applications of Hybrid Metaheuristic Algorithms for Image Processing, Hardcover by Oliva, Diego (EDT); Hinojosa, Salvador (EDT), ISBN 3030409767, ISBN-13 9783030409760, Like New Used, Free shipping in the US This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. Th also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. Th is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.
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Book Title: Applications of Hybrid Metaheuristic Algorithms for Image Process
Number of Pages: IX, 490 Pages
Publication Name: Applications of Hybrid Metaheuristic Algorithms for Image Processing
Language: English
Publisher: Springer International Publishing A&G
Subject: Engineering (General), Signals & Signal Processing, Intelligence (Ai) & Semantics
Publication Year: 2020
Type: Textbook
Item Weight: 32.3 Oz
Subject Area: Computers, Technology & Engineering
Author: Salvador Hinojosa
Item Length: 9.3 in
Series: Studies in Computational Intelligence Ser.
Item Width: 6.1 in
Format: Hardcover
