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<p>To address the common limitations of traditional transmission line sag monitoring—such as high detection cost, limited real-time performance, and low anti-interference robustness—this study constructs an intelligent detection framework that integrates pixel statistics with an improved Hough transform. Image preprocessing strategies, including denoising filtering and grayscale equalization, are applied to enhance image quality and support subsequent processing stages. A dual-threshold segmentation method is designed based on grayscale distribution to distinguish transmission lines from the background and extract pixel-level contours. To handle contour discontinuities caused by occlusions, angle and length constraints are incorporated into the Hough transform to filter out interference lines while preserving valid contours and completing missing segments. Additionally, a sag measurement method based on image geometric features is introduced, which reformulates the sag estimation task as a span-length measurement between towers, enabling the transformation from 2D image features to 3D sag values. The constructed "image enhancement–contour extraction–sag calculation" framework offers advantages in simplicity, low implementation cost, and engineering adaptability, making it a practical and deployable solution for intelligent inspection of power transmission lines.</p>

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Transmission line video image sag detection algorithm based on pixel statistics and improved Hough transform

  • 期刊论文

  • 发表日期：

    2025年11月24日

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  • Feng Zhou,
  • Baojin Qi,
  • Qing Sun,
  • Chao Yang,
  • Xin Tong

摘要

To address the common limitations of traditional transmission line sag monitoring—such as high detection cost, limited real-time performance, and low anti-interference robustness—this study constructs an intelligent detection framework that integrates pixel statistics with an improved Hough transform. Image preprocessing strategies, including denoising filtering and grayscale equalization, are applied to enhance image quality and support subsequent processing stages. A dual-threshold segmentation method is designed based on grayscale distribution to distinguish transmission lines from the background and extract pixel-level contours. To handle contour discontinuities caused by occlusions, angle and length constraints are incorporated into the Hough transform to filter out interference lines while preserving valid contours and completing missing segments. Additionally, a sag measurement method based on image geometric features is introduced, which reformulates the sag estimation task as a span-length measurement between towers, enabling the transformation from 2D image features to 3D sag values. The constructed "image enhancement–contour extraction–sag calculation" framework offers advantages in simplicity, low implementation cost, and engineering adaptability, making it a practical and deployable solution for intelligent inspection of power transmission lines.