@inproceedings{6d6c8585af794a05aab833a611a58f65,
title = "Underwater wet weld seam tracking based on passive visual sensor",
abstract = "Weld seam tracking system is urgently needed in weld automation process, but it has not been well studied in underwater weld applications. This paper used visual sensor to automatically monitor the weld seam in underwater wet weld process, and image processing algorithms were developed to remove the influence of water environment on the captured image and automatically obtain the weld torch deviation, and the weld torch was adjusted automatically according to the deviation obtained by the image, experiment results showed that the system could meet the requirements of underwater wet welding process.",
keywords = "Seam tracking, Underwater wet welding, Visual sensor",
author = "Bo Chen and Chuanbao Jia and Jicai Feng",
year = "2013",
doi = "10.4028/www.scientific.net/AMR.683.725",
language = "英语",
isbn = "9783037856666",
series = "Advanced Materials Research",
pages = "725--728",
booktitle = "Advanced Materials and Engineering Materials II",
note = "2nd International Conference on Advanced Materials and Engineering Materials, ICAMEM 2012 ; Conference date: 29-12-2012 Through 30-12-2012",
}