引用本文: | 赵 菲,张志勇,肖山竹,等.双预测结构融合的复杂红外图像背景抑制算法.[J].国防科技大学学报,2012,34(3):113-118.[点击复制] |
ZHAO Fei,ZHANG Zhiyong,XIAO Shanzhu,et al.Two prediction architecture fused complex IR images background suppression algorithm[J].Journal of National University of Defense Technology,2012,34(3):113-118[点击复制] |
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双预测结构融合的复杂红外图像背景抑制算法 |
赵 菲, 张志勇, 肖山竹, 卢焕章 |
(国防科技大学 ATR国防科技重点实验室,湖南 长沙 410073)
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摘要: |
针对复杂红外图像的背景抑制问题,提出了一种双预测结构融合的复杂红外图像背景抑制算法。算法以图像中每个像素为中心,在其局部区域内根据灰度相似程度和空间分布相关性计算像素的核值相似程度,然后根据核值相似程度有侧重地融合两种不同结构的空间滤波器的输出作为最终的预测结果,最后将原始图像与预测图像相减完成背景抑制。实验结果表明,本文提出的算法能够较好地抑制不同红外图像中的复杂背景,算法结构简单,具有较强的应用价值。 |
关键词: 核值相似程度 预测融合 背景抑制 复杂红外图像 |
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基金项目:国家部委资助项目;国家863计划资助项目 |
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Two prediction architecture fused complex IR images background suppression algorithm |
ZHAO Fei, ZHANG Zhiyong, XIAO Shanzhu, LU Huanzhang |
(National Key Laboratory of Automatic Target Recognition (ATR) ,National University of Defense Technology,Changsha 410073,China)
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Abstract: |
Aiming at the complex background suppression problem, a two-prediction-architecture fused complex IR images background suppression algorithm is proposed. In the local region of each pixel, the Nucleus Similarity Degree(NSD) is computed on the basis of the gray value similarity and spatial distribution correlation. Then, the outputs of two spatial filters with different structures are fused as the final background prediction result. Finally, the suppression is done by subtracting the prediction from the original image. The experimental result demonstrates that the proposed algorithm can get better performance in different complex IR images while the structure of the algorithm is simple, and it is suitable for engineering application. |
Keywords: nucleus similarity degree fused prediction background suppression complex IR image |
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