【作者】 李真；

【导师】 张洪刚；

【作者基本信息】 北京邮电大学 ， 电子与通信工程， 2009， 硕士

【摘要】 随着现代红外技术的快速发展,红外热成像设备已经不仅仅应用于军事领域,越来越多的民用红外监控系统也得到了广泛的应用。但是由于红外探测器本身、光学系统及探测环境的印象,红外成像的效果并不理想。在实际的应用中,需要对获得的红外图像进行必要的增强处理。本论文解决了基于背景校正算法无法解决的“鬼影”问题和实现红外图像的增强,让观测者可以更加清楚的观测到红外目标,降低误观测的几率。本论文的主要成果如下：1、根据红外图像的产生过程分析了红外图像的特点,对比分析红外图像与其他情况下的图像,说明可以运用非均匀性校正算法对红外图像进行处理。2、通过分析非均匀性校正算法,从原有传统的两点校正方法和多点校正方法出发,验证了一种新的红外背景校正方法——多温度多窗口红外成像设备背景校正方法,利用划分的温度窗口参数,很好的解决了传统基于背景校正算法的“鬼影”问题。此外在介绍这种新算法同时提出了很多产品工程化的方法,并最终给出了应用结果。3、根据对图像边缘检测算法的了解,在传统的Sobel边缘检测算法的基础上进行算法创新。在边缘检测和图像增强算法中引入了区域运算的概念。这种创新可以在将红外图像中的大部分目标的边缘信息得到了很好的保留的情况下,对大部分的噪声进行很好的抑制,使整幅红外图像的每个区域细节都得到了很好的提升,达到对原始红外图像边缘增强的目的。更多还原

【Abstract】 With the rapid development of modern infrared image technology, application of infrared image formation equipment is not limited to the field of military, more and more infrared monitor and control systems have been extensively used in civil application. But the image formation effect doesn’t play so well on account of the limitation of infrared detector itself, optical system and the image of detector environment. In order to obtain better images, we need to do necessary enhancement for obtained infrared image in application.In the paper, we have solved the’Ghost image’problem that could not be solved based on background correction algorithm, realized the enhancement for infrared image, made observer see the infrared target more clearly, and reduced the probability of observation error.The main contributions of this paper as follows:1. We analyses the features of infrared image based on its generative process and make a contrast analysis on infrared image and other images, then demonstrate that the non-uniformity correction algorithm can be used for infrared image processing.2. Based on the analysis of non-uniformity correction algorithm, and set out from the inhere traditional Bipunctate Calibrating Method and Multipunctate Calibrating Method, we verify a new correction method for infrared background, that is, the background correction algorithm for infrared image processing equipment using multi temperature windows, which has successfully solved the’Ghost Image’problem based on traditional background correction algorithm by making a use of the divided temperature window parameter. Moreover, we also put forward many methods for product engineerization when introducing the new algorithm mentioned above, and finally provide the application outcome.3. We introduced algorithm innovation to traditional Sobel edge detection algorithm according to our understanding on the algorithm for image edge detection. We also introduced region algorithm concept in the algorithms for edge detection and image enhancement. Under the circumstance of preserving most target edge information of infrared image, the new method may effectively reduce most noise and upgrade all of the region details in whole infrared image so that it achieves the edge enhancement target for original infrared image.更多还原