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2018 | OriginalPaper | Buchkapitel

Weather Characterization from Outdoor Scene Images

verfasst von: Jenade Moodley, Serestina Viriri

Erschienen in: Computer Vision and Graphics

Verlag: Springer International Publishing

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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.
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Nächstes Kapitel Clustering Quality Measures for Point Cloud Segmentation Tasks
Literatur
1.
Dictionary.com unabridged, September 2017
2.
Bhattacharya, S.: European heatwave caused 35000 deaths (2003)
3.
Digital image processing, September 2017
4.
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)
5.
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)
6.
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) CrossRef
7.
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)
8.
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) CrossRef
9.
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) CrossRef
10.
Wikipedia: Histogram equalization – wikipedia, the free encyclopedia (2017). Accessed 24 Sept 2017
11.
Wikipedia: Gaussian blur – wikipedia, the free encyclopedia (2017). Accessed 24 Sept 2017
12.
Woods, R.E., Masters, B.R., Gonzalez, R.C.: Digital image processing, third edition. J. Biomed. Opt. 14(2), 14 (2009)
13.
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) CrossRef
14.
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) CrossRef
15.
Wikipedia: Entropy (information theory) – wikipedia, the free encyclopedia (2017). Accessed 25 Sept 2017
16.
Deziel, C.: How to calculate MSE, June 2017
Metadaten
Titel
Weather Characterization from Outdoor Scene Images
verfasst von
Jenade Moodley
Serestina Viriri
Copyright-Jahr
2018
Buch
Computer Vision and Graphics

Print ISBN: 978-3-030-00691-4

Electronic ISBN: 978-3-030-00692-1

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-030-00692-1_15

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