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Power Line Recognition and Foreign Objects Detection Based on Image Processing

In order to improve the efficiency of power line inspection, this paper uses the power line image collected, through the method of image processing, to identify power lines and detect foreign bodies. First, the Canny operator is improved by using Otsu adaptive acquisition of double thresholds for ed...

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Main Authors:	Song, Zhenlin, Xin, Shaou, Gui, Xinying, Qi, Guoqing
Format:	Conference Proceeding
Language:	English
Subjects:	Edge detection Electric power inspection Fault detection Feature extraction Foreign objects detection Hough Transformation Image edge detection Inspection Manuals Object detection Power line image Transforms
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creator	Song, Zhenlin Xin, Shaou Gui, Xinying Qi, Guoqing
description	In order to improve the efficiency of power line inspection, this paper uses the power line image collected, through the method of image processing, to identify power lines and detect foreign bodies. First, the Canny operator is improved by using Otsu adaptive acquisition of double thresholds for edge extraction of power line images. Then an improved Hough transform is used to detect straight lines in edge images for improving the accuracy of power line detection. Furthermore, a local contour detection method without considering the relationship between power lines and foreign objects is proposed to extract foreign objects on power lines, which can realize decoupling of power line recognition and fault detection. Through the simulation test of the collected power lines, the accuracy of the proposed method for power line extraction and foreign objects detection in the image is verified.
doi_str_mv	10.1109/CCDC52312.2021.9602279
format	conference_proceeding
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Through the simulation test of the collected power lines, the accuracy of the proposed method for power line extraction and foreign objects detection in the image is verified.</description><subject>Edge detection</subject><subject>Electric power inspection</subject><subject>Fault detection</subject><subject>Feature extraction</subject><subject>Foreign objects detection</subject><subject>Hough Transformation</subject><subject>Image edge detection</subject><subject>Inspection</subject><subject>Manuals</subject><subject>Object detection</subject><subject>Power line image</subject><subject>Transforms</subject><issn>1948-9447</issn><isbn>9781665440899</isbn><isbn>1665440899</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2021</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj99KwzAYxaMgOOeeQJC8QOeXNH8vtXM6KG6IXo-0_VIyXCpNQXx7M9zVOXAOh_Mj5J7BkjGwD1W1qiQvGV9y4GxpFXCu7QVZWG2YUlIIMNZekhmzwhRWCH1NblI6AChVAszI2274wZHWISJ9x3boY5jCEKmLHV0PI4Y-0m1zwHZKdIVT1lP65BJ2NJvN0fVId-PQYkoh9rfkyruvhIuzzsnn-vmjei3q7cumeqyLwKGcCmk809br_JBpEAaZ99C1bWbqlEOhvEdEhdygbDxD3ui2A5PZpPSslOWc3P3vhtzbf4_h6Mbf_Rm__ANpbU8x</recordid><startdate>20210522</startdate><enddate>20210522</enddate><creator>Song, Zhenlin</creator><creator>Xin, Shaou</creator><creator>Gui, Xinying</creator><creator>Qi, Guoqing</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20210522</creationdate><title>Power Line Recognition and Foreign Objects Detection Based on Image Processing</title><author>Song, Zhenlin ; Xin, Shaou ; Gui, Xinying ; Qi, Guoqing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-58f179f766517048e1ff0dcc110d6ae46ffeee6e28e5bf1e2b7cd0822755f1353</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Edge detection</topic><topic>Electric power inspection</topic><topic>Fault detection</topic><topic>Feature extraction</topic><topic>Foreign objects detection</topic><topic>Hough Transformation</topic><topic>Image edge detection</topic><topic>Inspection</topic><topic>Manuals</topic><topic>Object detection</topic><topic>Power line image</topic><topic>Transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Song, Zhenlin</creatorcontrib><creatorcontrib>Xin, Shaou</creatorcontrib><creatorcontrib>Gui, Xinying</creatorcontrib><creatorcontrib>Qi, Guoqing</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Song, Zhenlin</au><au>Xin, Shaou</au><au>Gui, Xinying</au><au>Qi, Guoqing</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Power Line Recognition and Foreign Objects Detection Based on Image Processing</atitle><btitle>2021 33rd Chinese Control and Decision Conference (CCDC)</btitle><stitle>CCDC</stitle><date>2021-05-22</date><risdate>2021</risdate><spage>6689</spage><epage>6693</epage><pages>6689-6693</pages><eissn>1948-9447</eissn><eisbn>9781665440899</eisbn><eisbn>1665440899</eisbn><abstract>In order to improve the efficiency of power line inspection, this paper uses the power line image collected, through the method of image processing, to identify power lines and detect foreign bodies. First, the Canny operator is improved by using Otsu adaptive acquisition of double thresholds for edge extraction of power line images. Then an improved Hough transform is used to detect straight lines in edge images for improving the accuracy of power line detection. Furthermore, a local contour detection method without considering the relationship between power lines and foreign objects is proposed to extract foreign objects on power lines, which can realize decoupling of power line recognition and fault detection. Through the simulation test of the collected power lines, the accuracy of the proposed method for power line extraction and foreign objects detection in the image is verified.</abstract><pub>IEEE</pub><doi>10.1109/CCDC52312.2021.9602279</doi><tpages>5</tpages></addata></record>
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identifier	EISSN: 1948-9447
ispartof	2021 33rd Chinese Control and Decision Conference (CCDC), 2021, p.6689-6693
issn	1948-9447
language	eng
recordid	cdi_ieee_primary_9602279
source	IEEE Xplore All Conference Series
subjects	Edge detection Electric power inspection Fault detection Feature extraction Foreign objects detection Hough Transformation Image edge detection Inspection Manuals Object detection Power line image Transforms
title	Power Line Recognition and Foreign Objects Detection Based on Image Processing
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