精品文档---下载后可任意编辑非致冷注视红外焦平面阵列大量均匀性校正和图像处理的开题报告摘要:随着红外焦平面阵列(IRFPA)在各个领域的应用逐渐扩大,IRFPA 的性能和精度也越来越受到重视。在 IRFPA 图像采集过程中,大量的均匀性误差和非线性误差会严重影响 IRFPA 的性能和精度。因此,对 IRFPA 的均匀性校正和图像处理技术的讨论具有重要的意义。本文提出了一种非致冷注视红外焦平面阵列大量均匀性校正和图像处理的方法。针对 IRFPA 的均匀性问题,本文采纳了梯度校正和多项式校正两种方法,通过对 IRFPA 图像的梯度信息和多项式拟合进行均匀性校正。实验结果表明,采纳梯度校正和多项式校正方法可以有效提高 IRFPA 的均匀性和图像质量。在图像处理方面,本文采纳了背景差分和自适应直方图均衡化两种方法进行图像增强。实验结果表明,在保证图像质量的前提下,这两种方法可以有效增强 IRFPA 图像的细节信息和对比度。本文的讨论结果表明,梯度校正和多项式校正方法可以有效提高 IRFPA 的均匀性和图像质量;而背景差分和自适应直方图均衡化方法可以有效增强 IRFPA 图像的细节信息和对比度。该讨论对于提高 IRFPA 在各个领域应用的精度和性能具有一定的指导意义和实际应用价值。关键词:红外焦平面阵列;大量均匀性校正;图像处理;梯度校正;多项式校正;背景差分;自适应直方图均衡化Abstract:With the increasing application of infrared focal plane arrays (IRFPA) in various fields, the performance and accuracy of IRFPA are becoming more and more important. In the process of IRFPA image acquisition, a large number of uniformity errors and non-linear errors will seriously affect the performance and accuracy of IRFPA. Therefore, the research on the uniformity correction and image processing technology of IRFPA is of great significance. In this paper, a method for non-cooled infrared focal plane array uniformity correction and image processing is proposed.To solve the uniformity problem of IRFPA, this paper adopts two methods of gradient correction and polynomial correction, and conducts uniformity correction by gradient information an...