基于局部对比度的自适应Top-Hat红外小目标检测  

Adaptive Top-Hat Infrared Small Target Detection Based on Local Contrast

作　　者：习腾彦 袁丽华[1] 王树鹏 Xi Tengyan;Yuan Lihua;Wang Shupeng(Key Laboratory of Nondestructive Testing,Ministry of Education,College of Testing and Optoelectronic Engineering,Nanchang Hangkong University,Nanchang 330063,Jiangxi,China;China Aviation Development Shenyang Liming Aero Engine Co.,Ltd.,Shenyang 110000,Liaoning,China)

机构地区：[1]南昌航空大学测试与光电工程学院无损检测技术教育部重点实验室,江西南昌330063 [2]中国航发沈阳黎明航空发动机有限责任公司,辽宁沈阳110000

出　　处：《激光与光电子学进展》2023年第16期364-376,共13页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(51865038)。

摘　　要：Top-Hat的检测性能受限于固定单一的结构元素,导致对复杂背景的抑制能力差。针对该方法的不足,提出两种具有递进关系的改进Top-Hat算法。首先依据小目标与其邻域灰度值差异,改进了Top-Hat变换,提出了一种具有双结构元素的Top-Hat算法,分别为膨胀和腐蚀操作设计了各自的结构元素,并且调整了开运算的运算顺序,以提高对红外小目标的检测性能。在此基础上,又提出一种基于局部对比度的自适应双结构Top-Hat红外小目标检测方法,通过计算局部对比度得到显著图,获得先验信息,自适应地改变双结构元素的大小,利用目标区域及其邻域的灰度值差异来抑制背景和增强目标。与同类方法和非同类方法进行对比实验研究,结果表明,所提基于局部对比度的自适应Top-Hat方法在5种评价指标中均表现突出。The detection performance of Top-Hat is limited by a fixed single structural element,resulting in poor suppression for complex background.This paper proposes two improved Top-Hat algorithms with a progressive relationship.First,the Top-Hat transform is enhanced according to the gray value difference between small targets and their neighborhoods,and a Top-Hat algorithm with two structural elements is demonstrated.The structural elements are designed for dilation and erosion operations,and the operation sequence of the open operation is adjusted to get better the detection performance for small infrared targets.Based on the upgraded method,a Top-Hat infrared small target detection method with adaptive dual structure based on local contrast is present.The prior information can be obtained,and the size of the dual structure elements can be adaptively changed by calculating the local contrast to obtain the saliency map.The gray value difference between the target region and its neighborhood is used to suppress the background and enhance the target.The results show that the proposed adaptive Top-Hat method based on local contrast performs best in the five evaluation indexes compared with similar and non-similar methods.

关 键 词：红外图像 小目标检测 局部对比度 TOP-HAT 

分 类 号：TN219[电子电信—物理电子学]