Image Processing and Capsule Networks : ICIPCN 2020

Joy Iong-Zong Chen

ISBN 10: 3030518582 / ISBN 13: 9783030518585

Verlag: Springer International Publishing, 2020

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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 modelingwhichhave 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 computingefficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms andartificial 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 ofcapsule 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 ofthings,and data analytics techniques.

Bestandsnummer des Verkäufers 9783030518585

Bibliografische Details

• Titel: Image Processing and Capsule Networks : ICIPCN 2020
• Verlag: Springer International Publishing
• Erscheinungsjahr: 2020
• Sprache: Englisch
• ISBN-10: 3030518582
• ISBN-13: 9783030518585
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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. 

Von der hinteren Coverseite

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.