Abstract
On the busy section of road, vehicle collision could be easily caused by road surface reflection, because road surface reflection always leads to problems in stereo matching, recognition and segmentation. Few attentions have been paid to deal this problem till now. Existing methods rely on a specular free image to detect and estimate specular reflection. Their methods are suitable for image indoor rather than road surface image outdoor. Therefore they are not applicable to road surface reflection. In this paper, a novel method, called dark channel with threshold filter (DCTF) is presented to separate specular reflection from road surface. The method utilizes dark channel prior to roughly get an estimation of the road surface reflection. Then a threshold is proposed which can recover the specular reflection despite of the visual artifacts robustly. Experimental results show that our method significantly outperforms the previous methods in separating specular reflection on road surface.
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Acknowledgement
This work was supported by a grant from National Natural Science Foundation of China (NSFC, No. 61504032).
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Wang, Y., Fu, F., Shi, J., Xu, W., Wang, J. (2016). Efficient Specular Reflection Separation Based on Dark Channel Prior on Road Surface. In: Huang, DS., Jo, KH. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9772. Springer, Cham. https://doi.org/10.1007/978-3-319-42294-7_38
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DOI: https://doi.org/10.1007/978-3-319-42294-7_38
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