为了提高凝视型红外鱼眼侦测系统的成像质量,针对实际应用中的问题,分析了鱼眼镜头对系统非均匀性的影响。对传统的两点校正算法进行了改进,提出了基于鱼眼镜头的两点校正算法,并对校正算法的成像质量进行了讨论。通过计算,校正前的非均匀性大小为0.72 ,校正后的非均匀性大小为0.027 ,系统的成像均匀性提到了提高。在非均匀性校正方面与传统的两点校正法进行了比较。结果表明,该方法具有校正精度高、成像效果好等优点。

In order to improve the imaging quality of a staring infared fish-eye surveillance system, the influence of a fish-eye lens on the uniformity of the system is analyzed according to the problems presented in practical applications. The traditional two-point correction algorithm is modified and hence a twopoint correction algorithm based on the fish-eye lens is proposed. The imaging quality after the correction algorithm is used is discussed. By calculation, the nonuniformity values before and after corection are 0.72 and 0.027 respectively. The imaging uniformity of the system is improved. The algorithm is compared with the traditional two-point correction algorithm in nonuniformity correction. The result shows that the method has higher correction precision and better imaging effectiveness