Image Processing and Capsule Networks

This book PDF is perfect for those who love Technology & Engineering genre, written by Joy Iong-Zong Chen and published by Springer Nature which was released on 23 July 2020 with total hardcover pages 829. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Image Processing and Capsule Networks books below.

Image Processing and Capsule Networks
Image Processing and Capsule Networks
Author : Joy Iong-Zong Chen
File Size : 52,5 Mb
Publisher : Springer Nature
Language : English
Release Date : 23 July 2020
ISBN : 9783030518592
Pages : 829 pages
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Image Processing and Capsule Networks by Joy Iong-Zong Chen Book PDF Summary

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.

Image Processing and Capsule Networks

Image Processing and Capsule Networks by Joy Iong-Zong Chen,João Manuel R. S. Tavares,Subarna Shakya,Abdullah M. Iliyasu

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

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Second International Conference on Image Processing and Capsule Networks

Second International Conference on Image Processing and Capsule Networks by Joy Iong-Zong Chen,João Manuel R. S. Tavares,Abdullah M. Iliyasu,Ke-Lin Du

This book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated

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Third International Conference on Image Processing and Capsule Networks

Third International Conference on Image Processing and Capsule Networks by Joy Iong-Zong Chen,João Manuel R. S. Tavares,Fuqian Shi

This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support

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Fourth International Conference on Image Processing and Capsule Networks

Fourth International Conference on Image Processing and Capsule Networks by Subarna Shakya,João Manuel R. S. Tavares,Antonio Fernández-Caballero,George Papakostas

This book includes high-quality research papers presented at the Fourth International Conference on Image Processing and Capsule Networks (ICIPCN 2023), which is held in Bangkok, Thailand, during 10–11 August 2023. This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and

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Convolutional Neural Networks for Medical Image Processing Applications

Convolutional Neural Networks for Medical Image Processing Applications by Saban Ozturk

The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare. Medical device technology and developments in artificial intelligence (AI) are among the most important ones. The improving technology and

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Machine Learning Image Processing Network Security and Data Sciences by Arup Bhattacharjee,Samir Kr. Borgohain,Badal Soni,Gyanendra Verma,Xiao-Zhi Gao

This two-volume set (CCIS 1240-1241) constitutes the refereed proceedings of the Second International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2020, held in Silchar, India. Due to the COVID-19 pandemic the conference has been postponed to July 2020. The 79 full papers and 4 short papers were thoroughly reviewed

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Image Processing Using Pulse Coupled Neural Networks

Image Processing Using Pulse Coupled Neural Networks by Thomas Lindblad,Jason M. Kinser

This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images. As these attributes form the

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