Abstract
This paper presents a variety of techniques to characterize outdoor scene images into their respective weather components; the sky condition (sunny or cloudy), the presence of rain, and the visibility. Weather characterization is not an easy task due to a large variety of outdoor scene images. Each weather component is characterized individually. The results obtained are promising. The accuracy rates for the weather components achieved are; the sky condition attained 80%, the presence of rain attained 60%, and visibility achieved a mean squared error (MSE) of 1.41.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dictionary.com unabridged, September 2017
Bhattacharya, S.: European heatwave caused 35000 deaths (2003)
Digital image processing, September 2017
Islam, M., Jacobs, N., Wu, H., Souvenir, R.: Images+ weather: collection, validation, and refinement. In: IEEE Conference on Computer Vision and Pattern Recognition Workshop on Ground Truth, vol. 6, p. 2 (2013)
Lagorio, A., Grosso, E., Tistarelli, M.: Automatic detection of adverse weather conditions in traffic scenes. In: IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance, 2008, AVSS 2008, pp. 273–279. IEEE (2008)
Bossu, J., Hautière, N., Tarel, J.-P.: Rain or snow detection in image sequences through use of a histogram of orientation of streaks. Int. J. Comput. Vis. 93(3), 348–367 (2011)
Lu, C., Lin, D., Jia, J., Tang, C.-K.: Two-class weather classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3718–3725 (2014)
Caraffa, L., Tarel, J.P.: Daytime fog detection and density estimation with entropy minimization. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 2, no. 3, p. 25 (2014)
Htay, K.K., Aye, N.: Semantic concepts classification on outdoor scene images based on region-based approach. Int. J. Futur. Comput. Commun. 3(6), 427 (2014)
Wikipedia: Histogram equalization – wikipedia, the free encyclopedia (2017). Accessed 24 Sept 2017
Wikipedia: Gaussian blur – wikipedia, the free encyclopedia (2017). Accessed 24 Sept 2017
Woods, R.E., Masters, B.R., Gonzalez, R.C.: Digital image processing, third edition. J. Biomed. Opt. 14(2), 14 (2009)
Chung, K.-L., Lin, Y.-R., Huang, Y.-H.: Efficient shadow detection of color aerial images based on successive thresholding scheme. IEEE Trans. Geosci. Remote. Sens. 47(2), 671–682 (2009)
He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. IEEE Trans. Pattern Anal. Mach. Intell. 33(12), 2341–2353 (2011)
Wikipedia: Entropy (information theory) – wikipedia, the free encyclopedia (2017). Accessed 25 Sept 2017
Deziel, C.: How to calculate MSE, June 2017
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Moodley, J., Viriri, S. (2018). Weather Characterization from Outdoor Scene Images. In: Chmielewski, L., Kozera, R., Orłowski, A., Wojciechowski, K., Bruckstein, A., Petkov, N. (eds) Computer Vision and Graphics. ICCVG 2018. Lecture Notes in Computer Science(), vol 11114. Springer, Cham. https://doi.org/10.1007/978-3-030-00692-1_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-00692-1_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00691-4
Online ISBN: 978-3-030-00692-1
eBook Packages: Computer ScienceComputer Science (R0)