Live line snow and ice coverage detection of ceramic insulator using gabor image features

D. Pernebayeva, A. James, M. Bagheri

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

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 languageEnglish
Publication statusPublished - Jan 1 2017
Event2017 IET International Conference on Resilience of Transmission and Distribution Networks, RTDN 2017 - Birmingham, United Kingdom
Duration: Sep 26 2017Sep 28 2017

Conference

Conference2017 IET International Conference on Resilience of Transmission and Distribution Networks, RTDN 2017
CountryUnited Kingdom
CityBirmingham
Period9/26/179/28/17

Keywords

  • Feature extraction
  • Gabor filters
  • Hv insulator
  • Nn classifier

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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