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
出处
《大气与环境光学学报》
CAS
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
关键词
图像处理
分水岭分割算法
夜间能见度
image processing
watershed segmentation method
nighttime visibility
