Applications of Hybrid Metaheuristic Algorithms for Image Processing is popular PDF and ePub book, written by Diego Oliva in 2020-03-27, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Applications of Hybrid Metaheuristic Algorithms for Image Processing can be Read Online from any device for your convenience.
Applications of Hybrid Metaheuristic Algorithms for Image Processing Book PDF Summary
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.
Detail Book of Applications of Hybrid Metaheuristic Algorithms for Image Processing PDF
- Author : Diego Oliva
- Release : 27 March 2020
- Publisher : Springer Nature
- ISBN : 9783030409777
- Genre : Technology & Engineering
- Total Page : 488 pages
- Language : English
- PDF File Size : 8,9 Mb
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