基于IHBF的增强局部对比度红外小目标检测方法  

IHBF-Based Enhanced Local Contrast Measure Method for Infrared Small Target Detection

作　　者：贺顺[1] 谢永妮 杨志伟[2] 贺小艳 刘祥熹 HE Shun;XIE Yongni;YANG Zhiwei;HE Xiaoyan;LIU Xiangxi(Communication and Information Engineering College,Xi’an University of Science and Technology,Xi’an 710600,China;National Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China)

机构地区：[1]西安科技大学通信与信息工程学院,陕西西安710600 [2]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《红外技术》2022年第11期1132-1138,共7页Infrared Technology

基　　金：国家自然科学基金(62071481)。

摘　　要：针对非均匀背景下红外小目标检测率低的问题,本文引入人眼视觉系统对比度机制,提出一种基于改进高提升滤波(improved high boost filter,IHBF)的增强局部对比度红外小目标检测方法。首先,根据小目标的频域特性,通过IHBF运算提升高频信号同时,剔除含有背景的低频信号;然后,提出增强局部对比度方法构建比差联合形式的算子,进一步增强目标与背景间的对比度,获得最优显著图;最后,采用自适应阈值分割技术获取真实目标。仿真结果表明:相对于现有的局部对比度算法,所提方法在检测率、虚警率等方面更具优势,是非均匀背景下检测红外小目标的一种有效方法。Inspired by the contrast mechanism of the human visual system(HVS),this study proposed an improved high boost filter(IHBF)-based enhanced local contrast measurement method for solving the low detection rate of infrared(IR)small targets with a non-homogeneous background.First,based on the frequency characteristics of the small target,the IHBF operation was used to discard the low-frequency signal containing the background.An enhanced local contrast measure method was proposed to construct the contrast operator of the ratio-difference joint form.Thus,the target contrast can be enhanced further to obtain an optimal saliency map.Finally,the adaptive threshold technology was used to extract small targets.The simulation results demonstrate that compared with existing local contrast algorithms,the proposed method is better in terms of detection rate and false alarm rate and is an effective method for detecting IR small targets in nonhomogeneous backgrounds.

关 键 词：人眼视觉系统 红外小目标 改进高提升滤波 增强局部对比度 目标检测 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]