Paper
2 March 2022 Research on power cable identification and distance measuring based on laser structured light
Jianxin Chen, Xinzhuo Ren, Yanfei Xu, Haojie Mang, Suoming Zhang, Qingchang Yu, Jiawang He
Author Affiliations +
Proceedings Volume 12158, International Conference on Computer Vision and Pattern Analysis (ICCPA 2021); 121580I (2022) https://doi.org/10.1117/12.2626955
Event: 2021 International Conference on Computer Vision and Pattern Analysis, 2021, Guangzhou, China
Abstract
In the process of power line inspection tasks based on online robots, machine vision needs to be used to identify and locate cables.However, strong light interference brings great difficulties to image detecting. This paper proposes a scheme based on laser structured light and optical filters to archive the requirements of online power cable inspection. This scheme realizes the recognition and extraction of cables through feature operator convolution and morphological processing, and realizes the depth acquisition of cable positions through one-line laser structured light marking and curve fitting. Experiments show that this scheme solves the problem of outdoor strong light interference, and satisfies the demand of online robots for power cable inspection.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianxin Chen, Xinzhuo Ren, Yanfei Xu, Haojie Mang, Suoming Zhang, Qingchang Yu, and Jiawang He "Research on power cable identification and distance measuring based on laser structured light", Proc. SPIE 12158, International Conference on Computer Vision and Pattern Analysis (ICCPA 2021), 121580I (2 March 2022); https://doi.org/10.1117/12.2626955
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Convolution

Feature extraction

Optical filters

Structured light

Inspection

Image filtering

RELATED CONTENT


Back to Top