| 基于改进加权增强局部对比度测量的红外小目标检测方法 |
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| 引用本文： | 鲁晓锋,柏晓飞,李思训,王轩,黑新宏.基于改进加权增强局部对比度测量的红外小目标检测方法[J].红外与激光工程,2022,51(8):20210914-1-20210914-9. |
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| 作者姓名： | 鲁晓锋 柏晓飞 李思训 王轩 黑新宏 |
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| 作者单位： | 西安理工大学 计算机科学与工程学院，陕西 西安 710048 |
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| 基金项目： | 国家自然科学基金 (62076201，U1934222) |
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| 摘 要： | 红外弱小目标检测技术是红外搜索与跟踪系统的重要组成部分(IRST)。一般来说，在复杂背景环境下，红外弱小目标检测往往会有高虚警率和低检测率的问题。为了解决这一问题，提出一个改进的加权增强局部对比度测量（IWELCM）检测框架，具有重要意义。首先，通过将局部对比度机制与信杂比(SCR)的计算相结合，提出一个增强的局部对比度测量方法，在增强图像中疑似红外弱小目标区域的同时也提高图像的SCR。其次，通过利用红外图像中弱小目标的特性，以及目标与周围背景的统计差异，提出一个改进的加权函数来进一步增强目标和抑制背景。最后，采用一个自适应阈值分割的方法去获取检测的目标。在不同场景的数据集上的对比实验表明，与七种现有流行的方法相比，提出方法在复杂背景下能够有效地从干扰对象中提取真实的红外弱小目标，具有更好的检测性能。
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| 关 键 词： | 红外搜索与跟踪系统 红外弱小目标 增强的局部对比度测量 改进的加权函数 |
| 收稿时间： | 2021-11-29 |
Infrared small target detection method based on the improved weighted enhanced local contrast measurement |
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| Affiliation: | Department of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China |
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| Abstract: | Infrared dim and small target detection is an important part of the infrared search and tracking system (IRST). Generally, in a complex background environment, infrared dim and small target detection often has the problem of a high false alarm rate and low detection rate. To solve this problem, an improved weighted enhanced local contrast measurement (IWELCM) detection framework is proposed. First, by combining the local contrast mechanism with the signal-to-clutter ratio (SCR) calculation, an enhanced local contrast measurement is proposed to enhance the SCR of the infrared image while enhancing the suspected small target region. Second, an improved weighting function is proposed to enhance the target and suppress the background by taking advantage of the characteristics of the target in infrared images and the significant difference between the target and the surrounding background. Finally, an adaptive threshold segmentation method is used to extract real targets. Experimental results on different scene datasets show that compared with the seven existing methods, the proposed method can effectively extract real dim targets from interference objects under complex backgrounds and has better detection performance. |
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