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石油和天然气泄漏后容易引起火灾、爆炸事故,发展快速、有效的石油和天然气红外成像检漏技术具有重要意义。通过对石油和天然气泄漏成分及其红外吸收特性的分析,将成像检漏系统的光谱响应波段选取为3.2~3.5μm。针对气体目标的运动、扩散特点,研究了基于背景动态范围压缩的方法和基于气体边缘迁移的方法,对成像检漏演示系统的输出图像进行实时增强处理,实验表明两种增强算法提高了气体成像检漏的能力。
Oil and gas leaks easily lead to fire, explosion, the rapid development of effective oil and gas infrared imaging leak detection technology is of great significance. Through the analysis of oil and natural gas leakage components and their infrared absorption characteristics, the spectral response band of imaging leak detection system is selected to be 3.2 ~ 3.5μm. In view of the movement and diffusion characteristics of gas targets, the method based on background dynamic range compression and the method based on gas edge migration are studied, and the output images of the imaging leak detection system are enhanced in real time. The experiments show that the two enhancement algorithms improve the gas imaging Leak detection ability.