低信噪比红外图像直线段检测算法  

Line segment detection in low-SNR infrared image

作　　者：艾锐[1,2,3] 史泽林[1,3] 张程硕[1,2,3] 

机构地区：[1]中国科学院沈阳自动化研究所,辽宁沈阳110016 [2]中国科学院大学,北京100049 [3]中国科学院光电信息处理重点实验室,辽宁沈阳110016

出　　处：《红外与激光工程》2013年第1期278-284,共7页Infrared and Laser Engineering

基　　金：国家973计划

摘　　要：因梯度场计算受噪声影响严重,直线段检测是低信噪比红外图像处理的一个难点。文中利用直线区域的相位分布具有显著非各向同性的基本事实,通过度量图像点邻域内的非各向同性度来区分直线点和非直线点。定义了图像的局部非各向同性度并给出了计算子,结合相位编组和背景反例模型,提出了一种能有效抑制噪声影响的新的直线段提取算法。实验表明,该算法能有效检测出低信噪比图像中的直线段,并具有很低的虚警率。Line segment detection in low-SNR infrared image is difficult as the gradient field calculation is badly affected by noise. In this paper, a new approach was presented to distinguish line elements and non-line ones in an image according to the fact that gradient field phase distribution of a line area distinctly appears non-isotropic. Local non-isotropy was defined and a calculating operator was presented. By combing phase-grouping algorithm and contrario detection framework, a new line segments detection algorithm was proposed. Experimental results indicate that the algorithm can effectively detect line segments in low-SNR images with a low false alarm rate.

关 键 词：直线段检测 低信噪比红外图像 局部非各向同性度 相位编组 背景反例模型 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]