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Chanchai Techawatcharapaikul. The hydrophobicity class of porcelain insulator detection based on digital image processing : A paper review. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2021.
The hydrophobicity class of porcelain insulator detection based on digital image processing : A paper review
Name: Poohthip Sonkaeo
Organization :
King Mongkut 's University of Technology Thonburi. Department of Electrical Engineering
Email :
poohthip.mcguyrever@mail.kmutt.ac.th
Organization :
King Mongkut 's University of Technology Thonburi. Department of Electrical Engineering
Email :
poohthip.mcguyrever@mail.kmutt.ac.th
LCSH:
Soil water repellency
LCSH:
Image processing
-- Digital techniques
LCSH:
Machine learning
Abstract:
The experiment of quality assurance for polymeric outdoor insulator service life is necessary to check the class of wettability by using digital image processing tools. Image processing can improve its pictorial information for human interpretation and render it more suitable for autonomous machine perception. This paper provides a survey of the recent technology and theoretical concepts to explain the development of the hydrophobicity class (HC) of porcelain insulators. The hydrophobic properties of the housing material were found to be degraded to different extents among field-aged insulators due to differences in material structure and pollution conditions. This paper contributes to the latest development of reviews relating to image processing for the implementation of porcelain insulator hydrophobic systems testing and their related studies. We categorized the computer vision mainstream into two groups: machine learning methods applied to digital image processing and deep learning methods applied to digital image processing. Then, we compare the pros and cons of each type of technique. We also provide a brief explanation of the up-to-date information about the techniques and their performance.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2021
Modified:
2026-04-24
Issued:
2026-04-24
บทความ/Article
application/pdf
BibliograpyCitation :
In Chiang Mai University. Faculty of Engineering. 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2021) (pp.759-762). Chiang Mai : Chiang Mai University
eng
©copyrights King Mongkut's University of Technology North Bangkok
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0.018394 วินาที
Poohthip Sonkaeo
| Title | Contributor | Type |
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| The hydrophobicity class of porcelain insulator detection based on digital image processing : A paper review
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Poohthip Sonkaeo;Chanchai Techawatcharapaikul | บทความ/Article |
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