Image Processing in Nighttime Visibility Meter Based on Watershed Segmentation Algorithm

Journal of Atmospheric and Environmental Optics ›› 2012, Vol. ›› Issue (2): 131-138.

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Image Processing in Nighttime Visibility Meter Based on Watershed Segmentation Algorithm

LI Yong-jun, ZHANG Yu-jun, Zhou Yi, Dai Pang-da

(Key Laboratory of Enviromental Optics&Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China)

Received:2011-09-01 Online:2012-03-28 Published:2012-03-29

Abstract

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..

Key words: image processing, watershed segmentation method, nighttime visibility

CLC Number:

TN911.7

LI Yong-Jun, ZHANG Yu-Jun, ZHOU Yi, DAI Long-Da. Image Processing in Nighttime Visibility Meter Based on Watershed Segmentation Algorithm[J]. Journal of Atmospheric and Environmental Optics, 2012, (2): 131-138.

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Image Processing in Nighttime Visibility Meter Based on Watershed Segmentation Algorithm

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