Image Processing and Capsule Networks - ICIPCN 2020 (Paperback, 1st ed. 2021)

This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modeling which have been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computing efficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms and artificial intelligence [AI] tools into existence. The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas of capsule network [CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet of things, and data analytics techniques.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Advances in Intelligent Systems and Computing, 1200
Release date:	July 2020
First published:	2021
Editors:	Joy Iong-Zong Chen • Joao Manuel R.S. Tavares • Subarna Shakya • Abdullah M. Iliyasu
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	807
Edition:	1st ed. 2021
ISBN-13:	978-3-03-051858-5
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-03-051858-2
Barcode:	9783030518585

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