Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-23896-3_8 | AICI (3) |
Keywords | Field | DocType |
experimental test,robotic welding seam,grayscale feature,image selection,visual information,useful image,recent year,electromagnetic noise,welding process,grayscale | Welding process,Computer vision,Computer science,Artificial intelligence,Vision sensor,Robot welding,Grayscale,Image selection,Electromagnetic noise | Conference |
Volume | ISSN | Citations |
7004 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhen Ye | 1 | 2 | 0.69 |
| Gu Fang | 2 | 162 | 16.95 |
| Shanben Chen | 3 | 116 | 23.09 |
| Ju Jia Zou | 4 | 198 | 20.00 |