基于场景的扫描线非均匀性校正算法

目前扫描红外热像仪有着广泛的应用,且一般采用基于定标的非均匀性校正方法；该类方法不能有效地校正图像中出现的扫描线。针对这一问题,本文对扫描线的表现进行分析,提出了一种基于场景的非均匀性校正算法,该算法采用图像像素点邻域标准差作为基础,通过类标准差对图像的差异信息进行计算,能够排除复杂场景的干扰,成功地识别扫描线,并对扫描线提取补偿。该算法计算简单,可以根据场景进行自适应校正,校正效果显著,具有一定的工程应用价值。

Scene based nonuniformity correctionalgorithm for scanning line

At present,scanning infrared thermal imagershave a wide range of applications and the nonuniformity correction method based on calibration is generally adopted.However,this type of method is not effectively in correcting scan lines that appear in the image.To address this problem,the performance of scan lines is analyzed,and a scene based nonuniformity correction algorithm is proposed in this paper.This algorithm uses the standard deviation of the image pixel neighborhood as the basis,and calculates the difference information of the image through the class standard deviation,which can eliminate the interference of complex scenes and successfully identify scan linesand extract the compensation for the scanning lines.The algorithm is computationally simple,can be adaptively corrected according to the different scenes,and the correction effect is significant,which has some value for engineering applications.