Fog Detection and Classification Using Gray Histograms

Abstract:

In this paper, a real-time fog detection method using a low cost b&w camera is presented. This method is based on gray histograms which would show the correspondence relationship between the gray value and the number of the pixels. Compared with foggy-free images, we notice some characteristics of foggy images, and these characteristics are also reflected in their gray histograms. Using the data from a gray histogram and a series of thresholds, we can detect whether the original image is under fog conditions. Moreover, we divide the weather conditions into three fog levels. Some experimental results and conclusions about this work are presented.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 570-576
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.570
• Online since: November 2011
• Authors: Yang Liu, Xiao Bo Lu
• Keywords: Fog Detection, Fog Levels, Gray Histogram

References

[1] S. G. Narasimhan Y. Y. Schechner and S. K. Nayar. Instant dehazing of images using polarization. CVPR, vol. 1, 2001, p.325.

DOI: 10.1109/cvpr.2001.990493

[2] E. Namer S. Shwartz and Y. Y. Schechner. Blined haze separation. CVPR, vol. 2 , 2006, p.1974–(1991).

[3] S. G. Narasimhan and S. K. Nayar. Chromatic framework for vision in bad weather. CVPR, 2000, p.598–605.

DOI: 10.1109/cvpr.2000.855874

[4] S. G. Narasimhan and S. K. Nayar. Contrast restoration of weather degraded images. PAMI, vol. 25, 2003, p.713–724.

DOI: 10.1109/tpami.2003.1201821

[5] J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski. Deep photo: Model-based photo-graph enhancement and viewing. SIGGRAPH Asia, (2008).

DOI: 10.1145/1457515.1409069

[6] N. Hautière, R. Labayrade, and D. Aubert. Real-time disparity contrast combination for onboard estimation of the visibility distance. IEEE Transactions on Intelligent Transportation Systems, vol. 2, no. 7, 2006, p.201–212.

DOI: 10.1109/tits.2006.874682

[7] Nicolas Hautière, Jean-Philippe Tarel, Jean Lavenant, and Didier Aubert. Automatic fog detection and estimation of visibility distance through use of an onboard camera. Mach. Vis. Appl., vol. 1, no. 17, 2006, p.8–20.

DOI: 10.1007/s00138-005-0011-1

[8] N. Hautière, R. Labayrade, and D. Aubert. Estimation of the visibility distance by stereovision: A generic approach. IEICE Transactions on information and systems, vol. 7, no. 89, 2006, p.2084–(2091).

DOI: 10.1093/ietisy/e89-d.7.2084

[9] Middleton W.E.K. Vision Through the Atmosphere. University of Toronto Press, (1952).

[10] S. Bronte, L. M. Bergasa, and P. F. Alcantarilla. Fog Detection System Based on Computer Vision Techniques. Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis, MO, USA, October 3-7, (2009).

DOI: 10.1109/itsc.2009.5309842

[11] Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing. Beijing. Publishing House of Electronics Industry. October , 2007, pp.70-84.

[12] http: /baike. baidu. com/view/746118. html.