基于分水岭分割算法夜间能见度仪的图像处理方法研究  

Image Processing in Nighttime Visibility Meter Based on Watershed Segmentation Algorithm

作　　者：李勇军[1] 张玉钧[1] 周毅[1] 戴庞达[1] 

机构地区：[1]中国科学院安徽光学精密机械研究所中国科学院环境光学与技术重点实验室,安徽合肥230031

出　　处：《大气与环境光学学报》2012年第2期131-138,共8页Journal of Atmospheric and Environmental Optics

基　　金：北京市自然科学基金(GYHY2011006047)资助

摘　　要：基于数字摄像技术的夜间能见度仪是利用人眼观测原理研制的一种适用于夜间的能见度观测的仪器。通过CCD采集的光源图像的亮度信息来反演能见度,关键技术在于能够准确分割出目标光源和黑体的图像。介绍了一种基于控制标记符的分水岭分割的光源图像处理方法。实验验证了该方法具有很好的提取目标光源亮度信息的效果,能达到夜间能见度观测的要求。与Vaisala FD12前向散射能见度仪的结果进行相关性对比,具有较好的一致性。Nighttime visibility meter, based on digital photography is an instrument for visibility observation at night with the principle of man＇s eyeballing. The visibility is acquired by the luminance information of target light source image collected by CCD, and the key technology is the accuracy of splitting target source and blackbody from the collected image. A light source image processing method based on control tags watershed segmentation approach is introduced. Experimental results show that the watershed method has a good effect on extracting the target light source luminance, and can satisfy the requirements of visibility observation at night. A good agreement has achieved through the correlation analysis to Vaisala FD12 forward scattering instrument

关 键 词：图像处理 分水岭分割算法 夜间能见度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]