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首页> 外文期刊>Optical and quantum electronics >Infrared small target detection based on non-subsampled shearlet transform and phase spectrum of quaternion Fourier transform
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Infrared small target detection based on non-subsampled shearlet transform and phase spectrum of quaternion Fourier transform

机译：基于非下采样的小波变换和四元数傅里叶变换相谱的红外小目标检测

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摘要

Infrared small target detection is a crucial part of infrared search and track system, and it has been a significant research topic in the past decades. Inspired by previous studies showing that phase spectrum of quaternion Fourier transform (PQFT) great superiority in salient region extraction and the desirable characteristics of multi-scale, multi-direction and shift-invariant with non-subsampled shearlet transform (NSST), a new target detection method is proposed based on NSST and PQFT in this paper. The original image is first subjected to NSST decomposition to obtain a low frequency component and four high frequency components by NSP. Next, directional localization is achieved by shearing filters which provides multi-directional decomposition. Then, four direction high frequency sub-images decomposed by NSST are introduced as four data channels of PQFT. The reconstruction map that highlights the salient region in the time domain is computed using the inverse PQFT. Lastly, the real target is directly segmented by an adaptive threshold. The proposed method is validated by five test sequences. The experimental results show that our method is superior to other traditional methods in terms of robustness and effectiveness in complex background.
机译：红外小目标检测是红外搜索和跟踪系统的关键部分，并且在过去的几十年中一直是重要的研究课题。受先前研究启发，四元数傅里叶变换（PQFT）的相谱在显着区域提取中具有极大的优势，并且具有新的目标，即非下采样的小波变换（NSST）具有多尺度，多方向和不变位移的理想特性提出了一种基于NSST和PQFT的检测方法。首先通过NSP对原始图像进行NSST分解以获得低频分量和四个高频分量。接下来，通过剪切滤波器实现方向定位，该滤波器提供了多方向分解。然后，将由NSST分解的四个方向的高频子图像作为PQFT的四个数据通道引入。使用逆PQFT计算在时域中突出显示显着区域的重建图。最后，真实目标直接通过自适应阈值进行细分。通过五个测试序列验证了该方法的有效性。实验结果表明，该方法在复杂背景下的鲁棒性和有效性优于其他传统方法。

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