• Journal of Atmospheric and Environmental Optics
  • Vol. 7, Issue 2, 131 (2012)
Yong-jun LI*, Yu-jun ZHANG, Yi ZHOU, and Pang-da DAI
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1673-6141.2012.02.008 Cite this Article
    LI Yong-jun, ZHANG Yu-jun, ZHOU Yi, DAI Pang-da. Image Processing in Nighttime Visibility Meter Based on Watershed Segmentation Algorithm[J]. Journal of Atmospheric and Environmental Optics, 2012, 7(2): 131 Copy Citation Text show less

    Abstract

    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.
    LI Yong-jun, ZHANG Yu-jun, ZHOU Yi, DAI Pang-da. Image Processing in Nighttime Visibility Meter Based on Watershed Segmentation Algorithm[J]. Journal of Atmospheric and Environmental Optics, 2012, 7(2): 131
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