Proceedings of the International Conference on Innovation in Science and Technology (ICIST 2020)

Threshold Determination for BIM User Image Segmentation Using Fuzzy C-Means for Development of Adaptive BIM

Authors
Stefanus Santosa*
Politeknik Negeri Semarang, Semarang, Indonesia
Sudirman S. Pana
Universitas Ichsan Gorontalo, Gorontalo, Indonesia
De R. M. Setiadi
Dian Nuswantoro University, Semarang, Indonesia
Aryo Satito, Anwar S. Ardjo
Politeknik Negeri Semarang, Semarang, Indonesia
Yonathan P. Santosa
Soegijapranata Catholic University, Semarang, Indonesia
Corresponding Author
Stefanus Santosa
Available Online 30 November 2021.
DOI
10.2991/aer.k.211129.019How to use a DOI?
Keywords
image processing; computer vision; thresholding; Fuzzy C-Mean; otsu; computational education; building information modeling
Abstract

The Building Information Modeling (BIM) Repository is required to adapt to its users who access BIM objects independently through the Common Data Environment (CDE). BIM objects are not always easy for all users to understand and misperceptions may occur due to users’ varying abilities and learning styles. The solution can be done through the Intelligent Monitoring System (IMS) based learning technology to perform a visual analysis of BIM users. One important issue in the visual tracking system is the degradation of the model caused by inaccuracies in determining the segmentation threshold between the user’s foreground and background images. Segmentation is still difficult when performed on complex images that have a lot of noise, inhomogeneity intensity, textures, or multi-phase structures. The focus of this research is to determine the threshold value using the Fuzzy C-Mean (FCM) approach which is compared with the performance of the Otsu method. Results showed that FCM has a smaller error rate than the Otsu method, 1.15E + 02 perframe compared to 5.11E + 02. FCM processing time is longer than Otsu, 3.6057 units of time perframe compared to 0.0331. We hope that this research can be used to development of an adaptive BIM Repository.

Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Innovation in Science and Technology (ICIST 2020)
Series
Advances in Engineering Research
Publication Date
30 November 2021
ISBN
10.2991/aer.k.211129.019
ISSN
2352-5401
DOI
10.2991/aer.k.211129.019How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Stefanus Santosa
AU  - Sudirman S. Pana
AU  - De R. M. Setiadi
AU  - Aryo Satito
AU  - Anwar S. Ardjo
AU  - Yonathan P. Santosa
PY  - 2021
DA  - 2021/11/30
TI  - Threshold Determination for BIM User Image Segmentation Using Fuzzy C-Means for Development of Adaptive BIM
BT  - Proceedings of the International Conference on Innovation in Science and Technology (ICIST 2020)
PB  - Atlantis Press
SP  - 85
EP  - 89
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.211129.019
DO  - 10.2991/aer.k.211129.019
ID  - Santosa2021
ER  -