Robust Line Segment Detection Based on Non-isotropy in Low-SNR Image
文献类型：会议论文
| 作者 | Ai R(艾锐); Shi ZL(史泽林)
|
| 出版日期 | 2012 |
| 会议名称 | 2012 IET International Conference on Information Science and Control Engineering (ICISCE 2012) |
| 会议日期 | December 7-9, 2012 |
| 会议地点 | Shenzhen, China. |
| 关键词 | line segment detection low-SNR image non-isotropy phase-grouping contrario detection framework |
| 页码 | 2049-2053 |
| 中文摘要 | Line segment detection in low-SNR infrared image has difficulty as the gradient field ca1culation is badly affected by noise. In this paper， a new approach is presented to distinguish line elements or non-line ones in an image according to the fact that gradient field phase distribution of a line area is non-isotropic. Local non-isotropy is defined and a ca1culating operator is presented. By combing phase-grouping algorithm and contrario detection framework we proposed a new line segments detection algorithm. Experimental results indicate that the algorithm can effectively detect line segments in low-SNR images with a low false alarm rate. |
| 产权排序 | 1 |
| 会议主办者 | The Institution of Engineering and Technology (IET), |
| 会议录 | 2012 IET International Conference on Information Science and Control Engineering (ICISCE 2012)
 |
| 会议录出版者 | IET |
| 语种 | 英语 |
| ISBN号 | 978-1-84919-641-3 |
| 源URL | [http://ir.sia.cn/handle/173321/10174]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 推荐引用方式 GB/T 7714 | Ai R,Shi ZL. Robust Line Segment Detection Based on Non-isotropy in Low-SNR Image[C]. 见:2012 IET International Conference on Information Science and Control Engineering (ICISCE 2012). Shenzhen, China.. December 7-9, 2012. |
入库方式： OAI收割
来源：沈阳自动化研究所
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