Applications of Hybrid Metaheuristic Algorithms for Image Processing (1st ed. 2020) (Studies in Computational Intelligence #890)
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- Synopsis
- 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. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book 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.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030409777
- Related ISBNs:
- 9783030409760
- Publisher:
- Springer International Publishing
- Date of Addition:
- 11/08/21
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Diego Oliva
- Edited by:
- Salvador Hinojosa
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- by Diego Oliva
- by Salvador Hinojosa
- in Nonfiction
- in Computers and Internet
- in Technology