机场围界入侵目标红外图像检测方法

Invasion-Targets Detection Based on Infrared Image in Airport Isolation Area

为了提高民航机场围界人为入侵安全隐患的监控效率和可靠性,设计了通过巡逻车采集红外图像信息,对其进行图像处理和报警,从而实现自动监控的方法。首先采用被动式红外检测技术和非制冷焦平面红外热像仪进行图像采集,并应用高斯图像滤波方法对图像进行预处理,以削弱图像噪声;然后采用阈值分割法对图像进行分割处理,获得清晰的二值图像;最后对图像中的入侵目标进行提取,以矩形框形式加以突出显示和跟踪;同时以音频形式进行报警,以提高监控技术的效率。结果显示,上述图像处理方法有效地实现了入侵红外目标的捕获、位置跟踪和报警,通过硬件配置、软件处理和实际模拟运行,证明上述方法能够对机场围界入侵红外目标进行及时、准确的监控,提高了机场围界的安全性。

In order to improve the reliability and efficiency of human intrusion detection around the airport, a new method is designed to realize monitoring automation by processing the infrared image data collected by patrol cars and triggering alarms when intrusion detected. Firstly, image data is collected with the passive infrared detection technology and the uncooled focal plane infrared thermal system, and pretreated by the Gaussian image filtering method to reduce the image noises. After that, the threshohl value segmentation method was used to obtain a clear binary intage. At last, the target in the image was extracted, and highlighted with rectangle box for tracking, in order to improve the efficiency of monitoring technology, audio alarm was triggered at the same time. The results showed that the image processing method is effective to achieve capturing, tracking of invasive infrared target and alarming. By hardware configuration, software processing as well as simulating operation, it is proved that the method is able to timely and accurately monitor invasive infrared target, and to enhance the security of airport isolation area.