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Robust Line Segment Detection Based on Non-isotropy in Low-SNR Image
Ai R(艾锐); Shi ZL(史泽林)
作者部门光电信息技术研究室
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.
会议主办者The Institution of Engineering and Technology (IET),
会议录名称2012 IET International Conference on Information Science and Control Engineering (ICISCE 2012)
出版者IET
2012
页码2049-2053
产权排序1
ISBN号978-1-84919-641-3
关键词Line Segment Detection Low-snr Image Non-isotropy Phase-grouping Contrario Detection Framework
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.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10174
专题光电信息技术研究室
通讯作者Ai R(艾锐)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang
2.Graduate School of Chinese Academy ofSciences, Beijing
3.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Science, Shenyang
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]//The Institution of Engineering and Technology (IET),:IET,2012:2049-2053.
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