基于形态滤波与梯度检测的红外弱点目标检测技术研究

为实现舰载红外警戒系统对海空背景下红外弱点目标的检测,本文提出一种将形态滤波与梯度检测相结合的红外图像滤波与目标检测方法,首先采用多形态算子对输入的图像进行并行滤波,大尺度形态算子抑制图像噪声,小尺度形态算子提取目标边缘细节信息,对并行处理后的图像进行基于树状小波帧变换的图像信息融合,然后依据目标的像素灰度在水平和垂直方向上的梯度变化,将弱点目标特性转化为对图像奇异性的分析,采用多向梯度算法对目标进行检测.实验表明算法有高检测概率,同时又把虚警个数降的很低,适用于舰载红外警戒系统.

Research of Infrared Dim Point Targets Detection Technology Based-on Morphology Filter Combined with Gradient Detection

For realizing Shipboard Infrared Surveillance System detects the dim point targets under background of sea and sky,this paper presents a new method which combines multi-morphology filter with gradient detection and applies to infrared images filter and targets detection.Firstly,the images were filtered through multi-mathematical morphology simultaneously,bigger morphology operator eliminating noise and smaller morphology operator picking up image detail.The simultaneity transacted results are fused by method based wavelet transform.According to the gradient changes of targets of vertical gray scale and horizontal gray scale,we transform the characteristic of targets into the analysis of singularity of images and detect target using multi-orientation gradients.The experiment results shows that the algorithm can offer high detection ratio,and then lower false alarming.This algorithm is suited for Shipboard Infrared Surveillance System.