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Image Processing and Capsule Networks

ICIPCN 2020

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Joy Iong-Zong Chen

    1. Department of Electrical Engineering, Dayeh University, Changhua, Taiwan

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  2. João Manuel R. S. Tavares

    1. Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

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  3. Subarna Shakya

    1. Department of Electronics and Computer Engineering, Tribhuvan University, Lalitpur, Nepal

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  4. Abdullah M. Iliyasu

    1. College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

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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

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1200)

Included in the following conference series:

Conference proceedings info: ICIPCN 2020.

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Table of contents (74 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  2. Efficient GAN-Based Remote Sensing Image Change Detection Under Noise Conditions

    • Wenzhun Huang, Shanwen Zhang, Harry Haoxiang Wang
    Pages 1-8

  3. RETRACTED CHAPTER: Recognition of Handwritten Digits by Image Processing Methods and Classification Models

    • Amelec Viloria, Reinaldo Rico, Omar Bonerge Pineda Lezama
    Pages 9-19

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

    • Jesus Silva, Noel Varela, Janns A. Patiño-Saucedo, Omar Bonerge Pineda Lezama
    Pages 20-30

  5. Face Detection Based on Image Stitching for Class Attendance Checking

    • Qiubo Huang, Chun Ji
    Pages 31-43

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

    • K. Sujatha, B. Deepa lakshmi, B. Rajeswary Hari, D. Sangeetha, B. Selvapriya
    Pages 44-53

  7. Development of an Algorithm for Vertebrae Identification Using Speeded up Robost Features (SURF) Technique in Scoliosis X-Ray Images

    • Tabitha Janumala, K. B. Ramesh
    Pages 54-62

  8. Comparison of Machine Learning Algorithms for Smart License Number Plate Detection System

    • Anjali Suresan, Divyaa Mahalakshmi G, Meenakshi Venkatraman, Shruthi Suresh, Supriya P
    Pages 63-75

  9. Sign Language Identification Using Image Processing Techniques

    • Amelec Viloria, Evelyn Sanchez, Omar Bonerge Pineda Lezama
    Pages 76-86

  10. Hybrid Speckle Reduction Filter for Corneal OCT Images

    • H. James Deva Koresh, Shanty Chacko
    Pages 87-99

  11. Digital Image Restoration Using Modified Richardson-Lucy Deconvolution Algorithm

    • J. Jency Rubia, R. Babitha Lincy
    Pages 100-112

  12. A Study of Electronic Health Record to Unfold Its Significance for Medical Reforms

    • Rugved V. Deolekar, Sunil B. Wankhade
    Pages 113-123

  13. RETRACTED CHAPTER: Texture Analysis in Skull Magnetic Resonance Imaging

    • Amelec Viloria, Ethel de la Hoz, Omar Bonerge Pineda Lezama
    Pages 124-134

  14. Security Analysis for Machine Learning and Image Processing Related Information Systems

    • Ruchi Sharma, Kiran Davuluri
    Pages 135-147

  15. The High Performance Image Encryption Method Based on HAD-L

    • P. Mithun, J. Indumathi
    Pages 148-159

  16. Iclique Cloak Approach for Protecting Privacy of Mobile Location with Image Processing Techniques

    • A. Ayyasamy, L. Sai Ramesh, V. Sathiyavathi
    Pages 160-168

  17. Deep Learning of Robust Representations for Multi-instance and Multi-label Image Classification

    • Jesus Silva, Noel Varela, Fabio E. Mendoza-Palechor, Omar Bonerge Pineda Lezama
    Pages 169-178

  18. Classification of Mitochondrial Network Images Associated with the Study of Breast Cancer

    • Jesus Silva, Noel Varela, Esperanza Diaz Arroyo, Omar Bonerge Pineda Lezama
    Pages 179-189

  19. Review on Brain Tumor Segmentation: Hard and Soft Computing Approaches

    • Prashant Mishra, Adhesh Garg, Diwanshi Gupta, Mayur Tuteja, Prajawal Sinha, Sanjay Saxena
    Pages 190-200

  20. The Appraised Structure for Improving Quality in the Compressed Image Using EQI-AC Algorithm

    • M. Durairaj, J. Hirudhaya Mary Asha
    Pages 201-217
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  1. Image Processing and Capsule Networks

Keywords

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

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