Performance analysis on the effect of noise in inverse surface adaptive thresholding (ISAT)
Document Type
Conference Item
Publication Date
1-1-2021
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.
Keywords
Edge detection, Image segmentation, Inverse problems, Medical imaging
Divisions
sch_ecs
Publication Title
Journal of Physics: Conference Series
Volume
2071
Issue
1
Event Title
2021 International Conference on Biomedical Engineering, ICoBE 2021
Event Location
Virtual, Online
Event Dates
14 - 15 September 2021
Event Type
conference