中文摘要：

设计与开发了一种基于红外图像的SF6气体检漏定位系统。本系统利用TMS320C6416高速图像处理能力及其灵活可配置的视频端口,结合S3C6410强大的控制能力,对可能发生SF6泄漏的现场进行红外视频图像的实时采集,利用帧间差分和局部熵差相结合的算法对泄漏点进行检测和定位。仿真及实验结果表明,该算法不仅克服了帧间差分法检测位置不够精确和局部熵差法计算量大的缺点,同时还有效的降低了诊断过程中被测对象的外形、表面缺陷和背景环境的噪声等影响,能够高效、准确地实现SF6泄漏点的检测和定位。

英文摘要：

A leak detection and location system for SF6 based on infrared image is designed and developed. By using the high speed microprocessor TMS320C6416 and its configurable video ports and combined with the powerful control capability of the S3C6410, the real-time infrared image where SF6 leakage may occur is collected and processed. Combine with the frame of difference algorithm and the local entropy algorithm, detect and locate leaks. Experimental results show that the algorithm not only effectively improves the precise detecting location of frame difference algorithm and reduces calculated amount of local entropy method, but also effectively reduces the effect of diagnosis process with object shape, surface defects and environmental background noise etc, which can efficiently and accurately implement SF6 leak detection and location.