Image De-noising Based on WMF Technique for Electrical Trees Structure in High Voltage Cable Insulation

Rohani, Mohamad Nur Khairul Hafizi; Abdulah, Cik Siti Khadijah; Ismail, Baharuddin; Mohd Isa, Mohd Aanuar; Rosmi, Afifah Shuhada; Jamil, Mohamad Kamarol; Muhammad-Sukki, Firdaus; Mas’ud, Abdullahi A.

Abstract

Electrical treeing is a common problem during the pre-breakdown phenomenon in solid insulations due to the damage caused by Partial Discharge (PD) that progresses through stressed insulation via chemical degradation, which resembles the shape of a tree root. This resulted in a decrease in performance through degrading the insulation, which became a serious problem while dealing with electrical equipment. Hence, a deep understanding of electrical tree structure is vital to improving the quality of solid insulations. Ergo, optical microscopy is primarily used to examine tree structures, shapes, and fractal dimensions to reconstruct electrical tree structures for morphological study. However, optical microscopy images are frequently degraded by noise from readout procedures or image data acquisition systems, noise caused by occlusion, illumination, non-uniform intensity, destroying potential tree pixels, and a critical loss of information about the electrical tree structures. Therefore, this research proposed the Wiener Median Fusion (WMF) filter for electrical tree study. The performance of the WMF de-noising technique improves the image quality for the precise portrayal of the electrical tree structure based on thresholding segmentation algorithm analysis in terms of accuracy, sensitivity, and false positive rate. Based on the analysis of the thresholding segmentation algorithm, Otsu's thresholding exhibits the highest result compared to Niblack. The Otsu's overall percentage in terms of accuracy is 80.2934%, the sensitivity is 99.1513%, and the false positive rate is 82.6265%.

Citation

Rohani, M. N. K. H., Abdulah, C. S. K., Ismail, B., Mohd Isa, M. A., Rosmi, A. S., Jamil, M. K., Muhammad-Sukki, F., & Mas’ud, A. A. (2025). Image De-noising Based on WMF Technique for Electrical Trees Structure in High Voltage Cable Insulation. Journal of Advanced Research in Applied Sciences and Engineering Technology, 53(1), 57-72. https://doi.org/10.37934/araset.53.1.5772

• Journal Article Type: Article
• Acceptance Date: Aug 21, 2024
• Online Publication Date: Sep 22, 2024
• Publication Date: 2025
• Deposit Date: Sep 24, 2024
• Publicly Available Date: Sep 24, 2024
• Electronic ISSN: 2462-1943
• Publisher: Semarak Ilmu Publishing
• Peer Reviewed: Peer Reviewed
• Volume: 53
• Issue: 1
• Pages: 57-72
• DOI: https://doi.org/10.37934/araset.53.1.5772
• Keywords: Electrical tree, Image de-noising, Image segmentation, Median, Noise, Niblack thresholding, Otsu’s thresholding, Partial discharge, Wiener, WMF filter