通过修改快速突出度和加权引导图像过进行红外小目标检测
Yi Cui1,2, Tao Lei1,2, Guiting Chen1,2
1Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China.
Sensors (Basel, Switzerland)
|July 30, 2025
概括
这项研究引入了一种新的红外小目标检测方法,使用修改快速突出度和加权引导图像过. 该算法有效地抑制了背景杂乱,并准确地检测目标,即使具有复杂的背景和强大的边缘.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 遥感 遥感 遥感 遥感
背景情况:
- 强大的小目标检测对于红外 (IR) 搜索和跟踪至关重要.
- 现有的最先进的 (SOTA) 方法在复杂的背景中难以抑制边缘.
研究的目的:
- 开发一个有效的IR小目标检测算法.
- 为了提高背景杂乱抑制和目标检测准确度.
主要方法:
- 通过转向内核 (SK) 调节的计算快速突出地图.
- 使用加权引导图像过器 (WGIF) 进行边缘保护光滑.
- 采用模糊集用于背景图像预测.
- 通过值检测用于目标检测的计算差异图像.
主要成果:
- 在强烈的边缘干扰下有效抑制背景杂乱.
- 精确检测小目标,低误报率.
- 在四个实验序列上演示了性能.
结论:
- 拟议的方法为IR小目标检测提供了一个强大的解决方案.
- 它在复杂的背景场景中表现优于SOTA方法.
- 在具有挑战性的IR成像条件下实现高精度和低误报警.
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