摘要
针对海天红外图像的特点,提出一种快速有效的海天线提取方法。首先通过模板运算在大尺度上对图像进行预处理来增强海天线区域的图像梯度值,然后为了减小水面波纹和噪声的干扰,设计了一种非线性分割方法对图像进行处理,最后对图像进行行扫描找出海天线的位置。实验结果验证了该方法的简单有效性,抗干扰能力强,易于工程上应用。
Through analyzing characteristics of infrared image,this paper introduces a practical and fast sea-sky-line extraction algorithm.Firstly,the image preprocessing is taken by applying big-scale template filtering to enhance the gray gradient in sea-sky-line area.Secondly,nonlinear segmentation is used to restrain noise and wave disturbance.Finally,the detected infrared image is scanned horizontally to identify the position of the sea-sky-line.The experimental result showed that the method can locate sea-sky-line efficiently and correctly,requiring a few computation and can be used for engineering applications.
出处
《红外技术》
CSCD
北大核心
2011年第4期230-232,240,共4页
Infrared Technology
基金
十一五国防预研项目
关键词
红外图像
海天线提取
算法
infrared image
sea-sky-line extraction
algorithm