红外探测器盲元检测及评价

摘要

盲元严重影响红外制导武器的成像质量和系统性能.针对目前滤波类检测算法无法准确检测连续盲元的问题,本文对基于场景的时域平均野值提取的盲元检测算法进行了改进,对滤波窗口下的盲元分布形式进行了讨论,对连续盲元提出基于时域平均和空域均值野值提取的盲元检测算法,实现了盲元位置的确定.通过仿真实验对比发现,本文检测算法对连续盲元具有更低的误检率和漏检率;然后本文提出一种红外探测器盲元的测试评价方法,通过对样本图像进行分析计算,根据罗曼诺夫斯基准则的思想确定评价参数与评价法则,作为判断红外制导武器成像探测器能否正常工作的依据.测试方法简便快捷,有较高的准确度.%Blind pixel has a great influence on the imaging quality and system performance of infrared guided weapons.Aiming at the problem that the filtering algorithms cannot remove continuous blind pixels,the blind pixel detection algorithm based on temporal-mean outlier-extraction (TMOE) was improved,and the distribution form of blind pixel in the filter window was discussed.A detection algorithm that based on temporal-mean and spatial-mean outlier extraction for continuous blind pixel was proposed to realize the confirmation of blind pixel position.The simulation experiments show that this method has lower blind false detecting rate and loss detecting rate.Then the testing method of infrared detector blind pixel was put forward.By means of analysis and calculation of sample image,and then the evaluation parameters and evaluation rules are determined according to the ideas of the Romanowski criterion,and they will use as the basis of normal operation for infrared imaging equipment.The testing method is simple and quick,and it has quite high accuracy.