Recognition and Default Detection of Power Phase Sign Image

doi:10.3969/j.issn.1006-2475.2017.10.005

Abstract

Abstract: Power phase signs are important electric facilities. Usually, they are installed in tower’s visible place. Withstanding rain and wind for long time, they are prone to damage, scratch, etc. Thus, a method of phase sign recognition and default detection is presented. Firstly, power phase sign image is processed by oriented filtering and graying. Secondly, Fixed threshold and FloodFill algorithm are used to segment the image. Thirdly, a matching method based on SURF operator and FLANN algorithm is adopted to recognize power phase sign. Last but not least, by calculating the percentage of intersection coefficient of B channel histogram, default can be judged. The effectiveness and robustness of the method are verified through experiments.

Key words: power phase sign, segment, SURF operator, FLANN algorithm, B channel histogram

CHENG Jin-zhi, GUO Ling. Recognition and Default Detection of Power Phase Sign Image[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2017.10.005.

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