Image Processing and Capsule Networks ICIPCN 2020

You must be logged in to access this title.

Sign up now

Already a member? Log in

Synopsis

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. 

Book details

Edition:
1st ed. 2021
Series:
Advances in Intelligent Systems and Computing (Book 1200)
Author:
João Manuel R. S. Tavares, Joy Iong-Zong Chen, Subarna Shakya, Abdullah M. Iliyasu
ISBN:
9783030518592
Related ISBNs:
9783030518585
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2021-10-17
Usage restrictions:
Copyright
Copyright date:
2021
Copyright by:
The Editor 
Adult content:
No
Language:
English
Categories:
Art and Architecture, Computers and Internet, Nonfiction, Technology