Abstract
This study proposes a novel inspection technique for remote information extraction from electrical insulator surface under complex climate condition using image processing. Experiments conducted on recorded images of snow, ice and water covered insulator. Gabor filtering algorithm is utilized for extracting a set of Gabor phase congruency features from insulator images for the presence or absence of snow, ice and water droplets using minimum distance nearest neighbor classifier.
Original language | English |
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Publication status | Published - Jan 1 2017 |
Event | 2017 IET International Conference on Resilience of Transmission and Distribution Networks, RTDN 2017 - Birmingham, United Kingdom Duration: Sept 26 2017 → Sept 28 2017 |
Conference
Conference | 2017 IET International Conference on Resilience of Transmission and Distribution Networks, RTDN 2017 |
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Country/Territory | United Kingdom |
City | Birmingham |
Period | 9/26/17 → 9/28/17 |
Keywords
- Feature extraction
- Gabor filters
- Hv insulator
- Nn classifier
ASJC Scopus subject areas
- Electrical and Electronic Engineering