基于矢量小波的红外弱小目标检测算法研究  

Research on the Arithmetic of Dim and Small Target in Infrared Image Detection Based on Vector-wavelet

作　　者：刘海燕 薛模根[2] 袁广林[3] 黄勤超[2] 

机构地区：[1]解放军炮兵学院五系,安徽合肥230031 [2]解放军炮兵学院军用光电工程教研室,安徽合肥230031 [3]解放军炮兵学院计算机教研室,安徽合肥230031

出　　处：《微计算机信息》2008年第7期277-279,共3页Control & Automation

摘　　要：针对标量小波用于红外弱小目标检测,检测精度较低的缺点,设计并实现了一种基于矢量小波的红外弱小目标检测算法。算法首先对红外弱小目标图像进行矢量小波分解;然后对水平及垂直方向上不同子带的小波系数进行去噪和增强处理,并舍弃低频小波系数;最后进行矢量小波重构并进行自适应阈值分割。对算法进行了实验,实验表明算法具有检测精度高和易于实时实现的优点。To solve the disadvantage of lower precision in dim and small target detection,it designs and realizes a arithmetic based on Vector-wavelet.First of all,the infrared image is decomposed with Vector-wavelet,then disposes the Vector-wavelet coefficient of different sub-block,finally composed the image with Vector-wavelet coefficient of different sub-block and adapted threshold segmentation.Test indicates the arithmetic has excellences of precision detecting and real time.

关 键 词：矢量小波 弱小目标 目标检测 红外图像 

分 类 号：TN215[电子电信—物理电子学]