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Volume 11, issue 4
Atmos. Meas. Tech., 11, 2041–2049, 2018
https://doi.org/10.5194/amt-11-2041-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 11, 2041–2049, 2018
https://doi.org/10.5194/amt-11-2041-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 11 Apr 2018

Research article | 11 Apr 2018

High-dynamic-range imaging for cloud segmentation

Soumyabrata Dev et al.
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Cited articles  
Akyüz, A. O.: High dynamic range imaging pipeline on the GPU, J. Real-Time Image Process., 10, 273–287, https://doi.org/10.1007/s11554-012-0270-9, 2015.
Bagon, S.: Matlab wrapper for graph cut, available at: http://www.wisdom.weizmann.ac.il/~bagon (last access: April 2017), 2006.
Boykov, Y. and Jolly, M.-P.: Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, in: Proc. International Conference on Computer Vision (ICCV), https://doi.org/10.1109/ICCV.2001.937505, 2001.
Boykov, Y. and Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision, IEEE T. Pattern. Anal., 26, 1124–1137, https://doi.org/10.1109/TPAMI.2004.60, 2004.
Boykov, Y., Veksler, O., and Zabih, R.: Fast approximate energy minimization via graph cuts, IEEE T. Pattern. Anal., 23, 1222–1239, https://doi.org/10.1109/34.969114, 2001.
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Sky–cloud images obtained from ground-based sky cameras are usually captured using a fish-eye lens with a wide field of view. However, the sky exhibits a large variation in the scene luminance. In most cases, the circumsolar region is overexposed, and the regions near the horizon are underexposed. In this paper, we propose HDRCloudSeg – an effective method for cloud segmentation using high-dynamic-range (HDR) imaging. We describe the entire process and also release a new database.
Sky–cloud images obtained from ground-based sky cameras are usually captured using a fish-eye...
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