@inproceedings{a4802370ee5c4097be362957d1c2a0dd,
title = "Image selection based on Grayscale features in robotic welding",
abstract = "In robotic welding seam tracking based on visual information has been studied in the recent years. However, it is difficult to ensure the quality of images obtained in the welding process because it is easily affected by spattering, fuming and electromagnetic noise. The paper introduces a method to select useful images before further processing. Experimental tests are conducted to verify its accuracy.",
author = "Zhen Ye and Gu Fang and Shanben Chen and Zou, \{Ju Jia\}",
year = "2011",
doi = "10.1007/978-3-642-23896-3\_8",
language = "English",
isbn = "9783642238956",
publisher = "Springer",
pages = "63--70",
booktitle = "Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011: Proceedings, Part II",
note = "International Conference on Artificial Intelligence and Computational Intelligence ; Conference date: 01-01-2011",
}