低信噪比红外图像直线段检测算法
Line segment detection in low-SNR infrared image
查看参考文献17篇
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文摘
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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。 |
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其他语种文摘
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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. |
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来源
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红外与激光工程
,2013,42(1):278-284 【核心库】
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关键词
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直线段检测
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低信噪比红外图像
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局部非各向同性度
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相位编组
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背景反例模型
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地址
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中国科学院沈阳自动化研究所, 中国科学院光电信息处理重点实验室, 辽宁, 沈阳, 110016
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1007-2276 |
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学科
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自动化技术、计算机技术 |
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基金
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国家973计划
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文献收藏号
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CSCD:4782870
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