一种复杂背景下红外目标提取的实时性算法

A Real-Time Algorithm for Infrared Target Extraction

由于自然环境及成像条件的影响,红外目标提取常受到背景干扰的影响。针对复杂背景下的红外目标提取提出了一种算法,该算法采用预处理去除大量的灰度较低的背景和杂波,利用形态学滤波进一步去除部分背景和杂波,通过自动阈值分割最终将目标提取出来。该算法既克服了背景干扰,又保证了目标提取的效果,且算法实时性强。通过仿真对比证明,该算法对于复杂背景下的红外目标提取效果良好。

Because of the influence of nature meteorological condition and background environment, target extraction is difficult. This paper presents a new algorithm about infrared target extraction in complicated background. Through pretreatment, image filtering and threshold segmentation, targets are extracted from the image. The algorithm not only has good effect on suppressing background interfere, but also assures the good effect of target extraction. By comparison and simulation, it is proved that the method is a real-time and effective method.