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Second International Conference on Image Processing and Capsule Networks

ICIPCN 2021

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Joy Iong-Zong Chen

    1. Department of Electrical Engineering, Da-Yeh University, Changhua, Taiwan

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  2. João Manuel R. S. Tavares

    1. Departamento de Engenharia Mecanica, Universidade do Porto, Porto, Portugal

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  3. Abdullah M. Iliyasu

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

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  4. Ke-Lin Du

    1. Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada

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  • Presents recent research on image processing and capsule networks
  • Includes proceedings of the International Conference on Image Processing and Capsule Networks (ICIPCN2021)
  • Shows how to discover more information from images and perform innovative image analysis procedures

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 300)

Included in the following conference series:

Conference proceedings info: ICIPCN 2021.

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Table of contents (69 papers)

  1. Reducing DFT Leakage in Speech Recognition Using Pitch Segmentation

    • Sopon Wiriyarattanakul, Piroon Kaewfoongrungsi, Ekkalak Sumonphan
    Pages 218-229

  2. Musical Instrument Sound Classification Using GoogleNet with SVM and kNN Model

    • S. Prabavathy, V. Rathikarani, P. Dhanalakshmi
    Pages 230-240

  3. Classification of Stages of Thyroid Nodules in Ultrasound Images Using Transfer Learning Methods

    • S. Pavithra, R. Vanithamani, Judith Justin
    Pages 241-253

  4. A Monadic and Effective Frame Work for Single Human Pose Estimation of 2D Images and Videos

    • Challapalli Jhansi Rani, Nagaraju Devarakonda, K. W. S. N. Kumari, Pallavi Malavath
    Pages 254-268

  5. A Review on Fruit Detection and Segmentation Techniques in Agricultural Field

    • Dhanashree K. Barbole, Parul M. Jadhav, S. B. Patil
    Pages 269-288

  6. A Survey on Anomaly Detection Strategies

    • Rezaul Karim, Md. Atiqul Islam Rizvi, Mohammad Shamsul Arefin
    Pages 289-297

  7. Biometric Authentication Based Smart Bank Locker Security System

    • Rachana Yogesh Patil, Manjiri Ranjanikar
    Pages 298-308

  8. Developing a System for Automatic Detection of Books

    • Kaniz Fatema, Md. Razu Ahmed, Mohammad Shamsul Arefin
    Pages 309-321

  9. Testing the Efficacy of Various Artificial Neural Network for Total Haemoglobin Estimation

    • Caje F. Pinto, Jivan S. Parab, Marlon D. Sequeira, Gourish M. Naik
    Pages 322-333

  10. A Hybrid Segmentation Technique for Brain Tumor Detection in MRI Images

    • P. Tejas, S. K. Padma
    Pages 334-342

  11. An Overview of Agriculture Data Analysis Using Machine Learning Techniques and Deep Learning

    • Ishan Rao, Prathmesh Shirgire, Sanket Sanganwar, Kedar Vyawhare, S. R. Vispute
    Pages 343-355

  12. A Diagnostic Classifier for Prediction of Vitamin and Mineral Deficiency Based on Symptoms and Profiling Its Impact During Pregnancy

    • Sawant Rupali, Bakal Jagdish
    Pages 356-369

  13. An Exemplary Template Matching Techniques for Counterfeit Currency Detection

    • P. Nagaraj, V. Muneeswaran, K. Muthamil Sudar, Sk. Hammed, Desu Lakshmi Lokesh, V. Samara Simha Reddy
    Pages 370-378

  14. Enhanced Accuracy for Glucose Prediction Using Neural Network

    • Marlon D. Sequeira, Jivan S. Parab, Caje F. Pinto, Gourish M. Naik
    Pages 379-388

  15. Framework to Analyze Twitter Data (Tweets) Using Deep Learning and NLP Techniques

    • Reva Dashottar, Apurva Jaiswal, J. Jayapradha, M. Prakash
    Pages 389-402

  16. Extended Shadow Suppression Method for Outdoor Scenes Using CLAHE with OTSU Binarization and Assorted Color Spaces

    • Deepa Abin, Sudeep D. Thepade
    Pages 403-413

  17. Multi-view Multi-pose Robust Face Recognition Based on VGGNet

    • Kishor Bhangale, Piyush Ingle, Rajani Kanase, Divyashri Desale
    Pages 414-421

  18. An Intelligent Image Classification Approach for Food Items Nutrition Facts

    • Preethi Harris, M. Nithin, S. Nithish Kannan, R. Gokul Prasanth, M. Kissore Kumar
    Pages 422-430

  19. Underwater Image Enhancement Using Deep Learning

    • Kaushik Sarma, P. Vigneshwaran
    Pages 431-445

  20. Leveraging Dual Blockchain to Solve Security Issues in Electronic Health Records

    • Sakina Saifee, Sonali Kothari
    Pages 446-461
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  1. Second International Conference on Image Processing and Capsule Networks

Keywords

About this book

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 with image processing domain to enhance its adaptiveness, reliability, accuracy and efficiency. With the advent of intelligent technologies like machine learning especially deep learning, the imaging system can make decisions more and more accurately. Moreover, the application of deep learning will also help to identify the hidden information in volumetric images. Nevertheless, capsule network, a type of deep neural network, is revolutionizing the image processing domain; it is still in a research and development phase. In this perspective, this book includes the state-of-the-art research works that integrate intelligent techniques with image processing models, and also, it reports the recent advancements in image processing techniques. Also, this book includes the novel tools and techniques for deploying real-time image processing applications.

The chapters will briefly discuss about the intelligent image processing technologies, which leverage an authoritative and detailed representation by delivering an enhanced image and video recognition and adaptive processing mechanisms, which may clearly define the image and the family of image processing techniques and applications that are closely related to the humanistic way of thinking.



Editors and Affiliations

  • Department of Electrical Engineering, Da-Yeh University, Changhua, Taiwan

    Joy Iong-Zong Chen

  • Departamento de Engenharia Mecanica, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  • College of Engineering, Prince Sattan Bin Abdulaziz University, Al-Kharj, Saudi Arabia

    Abdullah M. Iliyasu

  • Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada

    Ke-Lin Du

Bibliographic Information

  • Book Title: Second International Conference on Image Processing and Capsule Networks

  • Book Subtitle: ICIPCN 2021

  • Editors: Joy Iong-Zong Chen, João Manuel R. S. Tavares, Abdullah M. Iliyasu, Ke-Lin Du

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-030-84760-9

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-030-84759-3Published: 10 September 2021

  • eBook ISBN: 978-3-030-84760-9Published: 09 September 2021

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XVIII, 825

  • Number of Illustrations: 145 b/w illustrations, 360 illustrations in colour

  • Topics: Computational Intelligence, Image Processing and Computer Vision

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