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Image Processing and Capsule Networks

ICIPCN 2020

  • Joy Iong-Zong Chen
  • João Manuel R. S. Tavares
  • Subarna Shakya
  • Abdullah M. Iliyasu
Conference proceedings ICIPCN 2020

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

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Wenzhun Huang, Shanwen Zhang, Harry Haoxiang Wang
    Pages 1-8
  3. Amelec Viloria, Reinaldo Rico, Omar Bonerge Pineda Lezama
    Pages 9-19
  4. Jesus Silva, Noel Varela, Janns A. Patiño-Saucedo, Omar Bonerge Pineda Lezama
    Pages 20-30
  5. K. Sujatha, B. Deepa lakshmi, B. Rajeswary Hari, D. Sangeetha, B. Selvapriya
    Pages 44-53
  6. Anjali Suresan, Divyaa Mahalakshmi G, Meenakshi Venkatraman, Shruthi Suresh, Supriya P
    Pages 63-75
  7. Amelec Viloria, Evelyn Sanchez, Omar Bonerge Pineda Lezama
    Pages 76-86
  8. H. James Deva Koresh, Shanty Chacko
    Pages 87-99
  9. Amelec Viloria, Ethel de la Hoz, Omar Bonerge Pineda Lezama
    Pages 124-134
  10. P. Mithun, J. Indumathi
    Pages 148-159
  11. Jesus Silva, Noel Varela, Fabio E. Mendoza-Palechor, Omar Bonerge Pineda Lezama
    Pages 169-178
  12. Jesus Silva, Noel Varela, Esperanza Diaz Arroyo, Omar Bonerge Pineda Lezama
    Pages 179-189
  13. Prashant Mishra, Adhesh Garg, Diwanshi Gupta, Mayur Tuteja, Prajawal Sinha, Sanjay Saxena
    Pages 190-200
  14. Surapon Riyana, Nattapon Harnsamut, Uratcha Sadjapong, Srikul Nanthachumphu, Noppamas Riyana
    Pages 233-243
  15. Jesus Silva, Noel Varela, Jorge L. Díaz-Martinez, Javier Jiménez-Cabas, Omar Bonerge Pineda Lezama
    Pages 269-279
  16. Abdulrahman Alrumaih, Ruaa Alsabah, Hiba J. Aleqabie, Ahmed Yaseen Mjhool, Ali Al-Sabbagh, James Baldwin
    Pages 287-298
  17. Akkem Yaganteeswarudu, Prabhakar Dasari
    Pages 299-308
  18. Ahmad Ilham, Jesus Silva, Nohora Mercado-Caruso, Donato Tapias-Ruiz, Omar Bonerge Pineda Lezama
    Pages 309-318
  19. Sanjeev M. Dwivedi, Sunil B. Wankhade
    Pages 342-348
  20. Amelec Viloria, Darwin Mercado, Omar Bonerge Pineda Lezama
    Pages 349-358
  21. Upasana Gaur, Monika Sharma
    Pages 359-365
  22. Sharyu Kadam, Dilip Motwani
    Pages 366-380
  23. Konjeti Harsha Saketh, Konjeti B. V. N. S. Sumanth, P. V. S. M. S. Kartik, K. S. S. Aneeswar, G. Jeyakumar
    Pages 381-388
  24. M. Adithi Mookambal, S. Gokulakrishnan
    Pages 389-396
  25. D. Senthilkumar, C. Akshayaa, D. George Washington
    Pages 397-410
  26. Snehal Andhare, Sunil Wankhade
    Pages 411-421
  27. Misbah Ahmad, Milind Ghawale, Sakshi Dubey, Ayushi Gupta, Poonam Sonar
    Pages 422-434
  28. G. S. S. Raj Kiran, Palakodeti Rohit, Katapally Manognya, K. Likhith, N. V. Ganapathi Raju, K. Prasanna Lakshmi
    Pages 435-447
  29. Neha More, Dilip Motwani
    Pages 448-460
  30. Tushar Bansal, Sanjhi Singhal, Suprita Deswal, S. T. Nagarajan
    Pages 461-471
  31. Mohd Faisal Ansari, Bhavya AlankarKaur, Harleen Kaur
    Pages 497-504
  32. Md. Ataur Rahman, Yeasmin Ara Akter
    Pages 505-513
  33. Pravin Kumbhar, Sudhakar R. Barbade, Utkarsh H. Jain, Chetan L. Chintakind, Aditya Harish Barhanpurkar
    Pages 514-525
  34. Sukkrit Sharma, Smaranjit Ghose, Suhrid Datta, C. Malathy, M. Gayathri, M. Prabhakaran
    Pages 526-534
  35. Ashif Newaz Shihab, Miftahul Jannat Mokarrama, Rezaul Karim, Sumi Khatun, Mohammad Shamsul Arefin
    Pages 535-545

About these proceedings

Introduction

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. 


Keywords

Image Processing Capsule Networks Artificial Neural Networks Neuro-fuzzy Control Genetic Algorithms Evolutionary Computation Biomedical Engineering and Machine Learning ICIPCN ICIPCN2020

Editors and affiliations

  • Joy Iong-Zong Chen
    • 1
  • João Manuel R. S. Tavares
    • 2
  • Subarna Shakya
    • 3
  • Abdullah M. Iliyasu
    • 4
  1. 1.Department of Electrical EngineeringDayeh UniversityChanghuaTaiwan
  2. 2.Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de EngenhariaUniversidade do PortoPortoPortugal
  3. 3.Department of Electronics and Computer EngineeringTribhuvan UniversityLalitpurNepal
  4. 4.College of EngineeringPrince Sattam Bin Abdulaziz UniversityAl-KharjSaudi Arabia

Bibliographic information