用数学形态学方法进行红外图像分层解理

Stratified dissection of infrared image with morphological method

将形态学算子作用于高噪声,低质量的红外图像,对之进行分层解理还原,即将原本由各种信号叠加而成的红外图像重新分解成器件噪声,工作噪声和目标,背景等不同层次的信号。这种图像解理方法,以几何论和集合运算为基础,因而原理直观,计算简单,能为红外目标识别与跟踪提供有益的预处理。

An IR image with strong noise is dissected into layers with morphological operators, i.e., an IR image overlapped by various signals is decomposed into different levels such as device noise, operating noise, target and background, etc. Based on geometry and set operation, the principle of this method is audio-visual and its operation is simple. It can provide useful pre-processing for IR target recognition and tracking.