{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T13:13:31Z","timestamp":1774271611499,"version":"3.50.1"},"reference-count":16,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2009,5,1]],"date-time":"2009-05-01T00:00:00Z","timestamp":1241136000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,5,1]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to introduce structured light image processing technology into pipeline welding automation projects, and develop a vision\u2010based pipeline girth\u2010welding robot. The welding torch can accurately track the weld and complete the omni\u2010orientation welding automatically.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>Weld image processing adopts the base theory including Laplacian of Gaussian filter, neighbourhood mean filter, largest variance threshold segmentation and morphologic, etc. obtains good effect of weld recognition.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The paper uses a vision sensor to achieve the weld character's recognition and extraction, directly control the robot tracking weld to complete automation welding. Compared with the existing pipeline welding devices, it does not need the lay orbit or plot tracking mark, which can shorten the assistant time to improve the productivity.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>The research findings can satisfy the need of whole\u2010directional automation welding for large diameter transportation pipe's circular abutting weld. It fits for the automation welding for the long\u2010distance transportation pipe of petroleum, natural gas, and water.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>Aiming at the character recognition and extract of V\u2010type weld, the method combining the neighbourhood mean filter algorithm with the largest variance threshold segmentation is proposed to obtain the quick weld image processing speed.<\/jats:p><\/jats:sec>","DOI":"10.1108\/01439910910950568","type":"journal-article","created":{"date-parts":[[2009,5,1]],"date-time":"2009-05-01T10:57:06Z","timestamp":1241175426000},"page":"284-289","source":"Crossref","is-referenced-by-count":4,"title":["Vision\u2010based pipeline girth\u2010welding robot and image processing of weld seam"],"prefix":"10.1108","volume":"36","author":[{"given":"Hong","family":"Yue","sequence":"first","affiliation":[]},{"given":"Kai","family":"Li","sequence":"additional","affiliation":[]},{"given":"Haiwen","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022032219524351000_b3","unstructured":"Asai (2005), \u201cPresent state and future development of sensing and monitoring systems for welding\u201d, Journal of High Temperature Society, Vol. 31 No. 2, pp. 100\u201011."},{"key":"key2022032219524351000_b11","unstructured":"Beattie, R.J., Cheng, S.K. and Logue, P.S. 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