Editors:
- Presents recent research on Image Processing and Capsule Networks
- Includes the proceedings of the International Conference on Image Processing and Capsule Networks (ICIPCN2020), held in Bangkok, Thailand, on May 6 to 7, 2020
- Explains how to discover more information from images and perform innovative image analysis procedures by efficiently utilizing the evolving capsule network models
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1200)
Conference series link(s): ICIPCN: International Conference on Image Processing and Capsule Networks
Conference proceedings info: ICIPCN 2020.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (74 papers)
-
Front Matter
About this book
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.
Editors and Affiliations
-
Department of Electrical Engineering, Dayeh University, Changhua, Taiwan
Joy Iong-Zong Chen
-
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal
João Manuel R. S. Tavares
-
Department of Electronics and Computer Engineering, Tribhuvan University, Lalitpur, Nepal
Subarna Shakya
-
College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
Abdullah M. Iliyasu
Bibliographic Information
Book Title: Image Processing and Capsule Networks
Book Subtitle: ICIPCN 2020
Editors: Joy Iong-Zong Chen, João Manuel R. S. Tavares, Subarna Shakya, Abdullah M. Iliyasu
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-030-51859-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-51858-5Published: 24 July 2020
eBook ISBN: 978-3-030-51859-2Published: 23 July 2020
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XXII, 807
Number of Illustrations: 128 b/w illustrations, 329 illustrations in colour
Topics: Computational Intelligence, Image Processing and Computer Vision