Yazid, H. and Som, M.H.M. and Basah, S.N. and Rahim, S.A. and Mahmud, M.F. and Arof, Hamzah (2021) Performance analysis on the effect of noise in inverse surface adaptive thresholding (ISAT). In: 2021 International Conference on Biomedical Engineering, ICoBE 2021, 14 - 15 September 2021, Virtual, Online.
Full text not available from this repository.Abstract
Thresholding is one of the powerful methods in segmentation phase. Numerous methods were proposed to segment the foreground from the background but there is limited number of studies that analyse the effect of noise since the present of noise will affect the performance of the thresholding method. In this paper, the main idea is to analyse the effect of noise in Inverse Surface Adaptive Thresholding (ISAT) method. ISAT method is known as an excellent method to segment the image with the present of noise. The result of this analysis can be a guideline to researcher when implementing ISAT method especially in medical image diagnosis. Initially, several images with different noise variations were prepared and underwent ISAT method. In ISAT method, several image processing methods were incorporated namely edge detection, Otsu thresholding and inverse surface construction. The resulting images were evaluated using Misclassification Error (ME) to evaluate the performance of the segmentation result. Based on the obtained results, ISAT performance is consistent although the noise percentage increases from 5 to 25. © 2021 Institute of Physics Publishing. All rights reserved.
Item Type: | Conference or Workshop Item (Paper) |
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Funders: | UNSPECIFIED |
Uncontrolled Keywords: | Edge detection; Image segmentation; Inverse problems; Medical imaging |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering > Department of Electrical Engineering |
Depositing User: | Ms Zaharah Ramly |
Date Deposited: | 03 Jul 2025 07:06 |
Last Modified: | 03 Jul 2025 07:06 |
URI: | http://eprints.um.edu.my/id/eprint/35828 |
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