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Advances in Intelligent Systems and Computing

Image Processing and Capsule Networks

ICIPCN 2020

Editors: Chen, J.I.-Z., Tavares, J.M.R.S., Shakya, S., Iliyasu, A.M. (Eds.)

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  • 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
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  • ISBN 978-3-030-51859-2
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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. 


Table of contents (73 chapters)

Table of contents (73 chapters)
  • Efficient GAN-Based Remote Sensing Image Change Detection Under Noise Conditions

    Pages 1-8

    Huang, Wenzhun (et al.)

  • Recognition of Handwritten Digits by Image Processing Methods and Classification Models

    Pages 9-19

    Viloria, Amelec (et al.)

  • Convolutional Neural Network with Multi-column Characteristics Extraction for Image Classification

    Pages 20-30

    Silva, Jesus (et al.)

  • Face Detection Based on Image Stitching for Class Attendance Checking

    Pages 31-43

    Huang, Qiubo (et al.)

  • Image Processing Technique for Effective Analysis of the Cytotoxic Activity in Human Breast Cancer Cell Lines – MCF-7

    Pages 44-53

    Sujatha, K. (et al.)

Buy this book

eBook $219.00
price for USA in USD
  • ISBN 978-3-030-51859-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $279.99
price for USA in USD
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Bibliographic Information

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
Series Volume
1200
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-51859-2
DOI
10.1007/978-3-030-51859-2
Softcover ISBN
978-3-030-51858-5
Series ISSN
2194-5357
Edition Number
1
Number of Pages
XXII, 807
Number of Illustrations
127 b/w illustrations, 330 illustrations in colour
Topics

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