Skip to main content
SpringerLink
Log in

Image Segmentation Module Development for Image Processing Learning Mobile Application

  • Conference paper
  • First Online:
Book cover Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 770))

  • 1047 Accesses

Abstract

This paper focuses in the development of an image segmentation module for an image processing learning application. This image segmentation module consists of edge detection sub-module and region-based segmentation sub-module. The Graphical User Interface (GUI) is developed by using the Android Studio software. The application is provided with various segmentation techniques, automatic and adjustable parameters, together with brief explanations for each image processing function to improve the learning efficiency of the users. The performance analysis is evaluated through data collection from survey conducted among university students attending formal Image Processing course. The surveys comprise of the market test and performance review surveys. It can be concluded that the understanding level among students increased 133.33% for extremely understand level, and 20% in-creased for moderately understand level. Furthermore, the number of students who did not understand has been decreased 100%. Therefore, 100% of respondents with formal Image Processing knowledge agreed that their understanding increased with the assistance of this application in their conventional face-to-face Image Processing learning.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Yen JC, Lee CY, Chen I (2011) The effects of image based concept mapping on the learning outcomes and cognitive processes of mobile learners. British J Educ Technol 43(2):307–320

    Article  Google Scholar 

  2. Mocofan M, Tanase D (2012) Teaching techniques for image database indexing using learning systems platforms. In: Proceedings of the 2012 IEEE global engineering education conference (EDUCON), IEEE, Morocco

    Google Scholar 

  3. Abràmoff MD, Magalhães PJ, Ram SJ (2004) Image processing with Image. J Biophoto Int 11(7):36–42

    Google Scholar 

  4. Veena Divya KA, Jatti, Sabah Meharaj P, Joshi R (2016) Image processing and parameter extraction of digital panoramic dental X-rays with ImageJ. In: International conference on computation system and information technology for sustainable solutions (CSITSS). IEEE, Bangalore, pp 450–454

    Google Scholar 

  5. Goh SN (2018) Image processing application for learning purpose. Undergraduate Project Report, University of Tun Hussein Onn Malaysia

    Google Scholar 

  6. YubituSoft (2019) Photo wonder-collage maker (Version 3.0.2). [Mobile application software]. Retrieved from https://play.google.com, last accessed 2020/08/21

  7. A Photo Studio (2020) Photo Editor (Version 1.1.0). [Mobile application software]. Retrieved from https://play.google.com, last accessed 2020/08/21

  8. Dreams Room (2020) Photo Editor Pro (Version 2.8.3). [Mobile application software]. Retrieved from https://play.google.com, last accessed 2020/08/21

  9. Adobe (2020) Adobe Photoshop Express: Photo Editor Collage Maker (Version 6.9.747). [Mobile application software]. Retrieved from https://play.google.com, last accessed 2020/08/21

  10. InShot Inc. (2020) Photo Editor (Version 1.211.60). [Mobile application software]. Retrieved from https://play.google.com, last accessed 2020/08/21

  11. Gonzalez RC, Woods RE, Eddins SL (2011) Digital image processing using MATLAB, 2nd edn. McGraw-Hill Education, USA

    Google Scholar 

  12. McAndrew A (2004) Introduction to digital image processing with MATLAB. Thomson Course Technology, Melbourne

    Google Scholar 

  13. Android Studio (2017) Download Android Studio and SDK Tools, Android Developers. Retrieved on 15 Mar 2018, from https://developer.android.com/studio, last accessed 2020/08/21

Download references

Acknowledgements

The authors would like to express our gratitude for the support given by Universiti Tun Hussein Onn Malaysia, especially the Research Management Centre (RMC) throughout the duration of this study.

Author information

Authors and Affiliations

  1. Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, Batu Pahat, Johor, Malaysia

    S. Suhaila, Z. Y. Low, N. S. A. M. Taujuddin & Nan M. Sahar

  2. Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, Batu Pahat, Johor, Malaysia

    R. Hazli

  3. Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, Batu Pahat, Johor, Malaysia

    A. R. A. Ghani

Authors
  1. S. Suhaila
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Z. Y. Low
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. N. S. A. M. Taujuddin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. R. Hazli
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. A. R. A. Ghani
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Nan M. Sahar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. Suhaila .

Editor information

Editors and Affiliations

  1. Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia

    Khalid Isa

  2. Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Zainah Md. Zain

  3. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Pulau Pinang, Malaysia

    Rosmiwati Mohd-Mokhtar

  4. Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Maziyah Mat Noh

  5. Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Semarak, Kuala Lumpur, Malaysia

    Zool H. Ismail

  6. Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Ahmad Anas Yusof

  7. Faculty of Ocean Engineering Technology and Informatics (FTKKI), Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia

    Ahmad Faisal Mohamad Ayob

  8. Department of Electrical and Electronic Engineering, Universiti Teknologi Petronas, Bandar Seri Iskandar, Perak, Malaysia

    Syed Saad Azhar Ali

  9. Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn, Parit Raja, Johor, Malaysia

    Herdawatie Abdul Kadir

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Suhaila, S., Low, Z.Y., Taujuddin, N.S.A.M., Hazli, R., Ghani, A.R.A., Sahar, N.M. (2022). Image Segmentation Module Development for Image Processing Learning Mobile Application. In: Isa, K., et al. Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020. Lecture Notes in Electrical Engineering, vol 770. Springer, Singapore. https://doi.org/10.1007/978-981-16-2406-3_40

Download citation

Publish with us

Policies and ethics

Search

Navigation