紫外图像处理方法

摘要

针对紫外成像存在噪声干扰的问题，为获取高品质的紫外图像及对目标准确检测，对典型紫外成像系统进行了研究。分析了紫外成像噪声干扰原因，建立了紫外目标场景模型。并以此研究紫外图像复原方法，对单幅图像进行门限处理，去掉背景噪声。然后对连续多帧图像进行均值处理和时域递归滤波，阈值分割后得到较好的图像输出。从图像输出结果可以看出，多帧图像均值处理和时域递归滤波都能有效地去除紫外图像中的随机噪声，特别是时域递归滤波方法对于图像复原有更好的效果%　　According to noise jamming existing in ultraviolet imaging process, typical UV imaging system are researched for acquiring high quality UV images and inspecting targets accurately. The reasons that noise jam⁃ming exists in ultraviolet imaging process are analyzed. The scene models of ultraviolet targets are established. Based on this, the restoration methods of ultraviolet images are researched. Single image is performed threshold processing so as to cut out background noise. Then multi-frame continuous images are performed average pro⁃cessing and time-recursive filtering. Better image output is got after threshold segmentation process. Based on output results of images, the random noise from ultraviolet images can be removed effectively by multi-frame im⁃age average processing and time-recursive filtering. Especially the method of time-recursive filtering has better effect on image restoration.