A new open curve detection algorithm for extracting the laser lines on the road
文献类型：会议论文
| 作者 | Fan HJ(范慧杰) ; Zhao LP(赵利坡); 唐延东
|
| 出版日期 | 2011 |
| 会议名称 | 2011 International Conference on Mechatronics and Information Technology, (ICMIT 2011) |
| 会议日期 | August 16-19, 2011 |
| 会议地点 | Shenyang, China |
| 关键词 | road surface roughness open curve line enhance filtering snake model edge inhibit operator |
| 页码 | 205-210 |
| 通讯作者 | 范慧杰 |
| 中文摘要 | This paper proposes a new open curve detection algorithm for recognizing the laser rays on the road to verify the roughness of the road surface by parsing the curvature of the laser rays. The laser line in the image is first enhanced by the bright line enhance filtering to remove the clutters generated by the background. The enhanced line has the characteristics that its gray value is greater than that of background, so the established energy functional in open curve detection process has a gray value constraint to drive the evolution curve to the brightest place in image. The line on the road surface is an open curve throughout the whole image, so we fixed the two endpoints of the evolution curve to maintain it is an open curve in curve evolution. Moreover, we design an edge inhibit operator to restrain the influence of objects edges to ensure the accuracy of the test laser line. We compared our algorithm with the edge detection operators, and the comparison results showed that our method is more accurate and more robustness to the background. |
| 收录类别 | CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Advanced Engineering Forum
 |
| 会议录出版者 | Trans Tech Publications |
| 会议录出版地 | Clausthal-Zellerfeld, Germany |
| 语种 | 英语 |
| ISSN号 | 2234-991X |
| ISBN号 | 978-3-03785-336-8 |
| WOS记录号 | WOS:000317993700040 |
| 源URL | [http://ir.sia.cn/handle/173321/10185]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Fan HJ,Zhao LP,唐延东 . A new open curve detection algorithm for extracting the laser lines on the road[C]. 见:2011 International Conference on Mechatronics and Information Technology, (ICMIT 2011). Shenyang, China. August 16-19, 2011. |
入库方式： OAI收割
来源：沈阳自动化研究所
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