基于形态重构的红外小目标图像背景抑制算法  

Infrared Small Target Image Background Reduction Using Morphological Reconstruction Operators

作　　者：魏长安[1] 姜守达[1] 

机构地区：[1]哈尔滨工业大学自动化测试与控制研究所,黑龙江哈尔滨150001

出　　处：《红外技术》2008年第12期713-716,共4页Infrared Technology

摘　　要：前视红外(FLIR)小目标图像背景比较复杂,给目标检测和识别造成较大困难。针对图像背景中存在杂波,提出一种基于形态重构的背景抑制技术,分析了获取标记图像时结构算子的选取方法。对AMCOM数据集上的实验表明,提出的算法对于提高图像的信噪比是很有效的。The background is very complex in forward-looking infrared （FLIR） image, which result in very difficult to detect and track small target. According to the clutter in the background, we propose a background reduction algorithm using morphological reconstruction operators, and analysis the selection of structuring element to get the marker image. Experimental results, obtained with the AMCOM FLIR data sets, demonstrate the effectiveness of the proposed method on improving the signal-to-noise （SNR）.

关 键 词：形态重构 结构算子 背景抑制 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]