Abstract
The accuracy of road region extraction is an important factor for the safety and reliability of intelligent driving system. Due to the shadow greatly affects the result of road region extraction in practical applications, the shadow effect weakening on a single image by the optical principles and theories is meaningful. To weaken the shadow effect, we extract the intrinsic images of road scenes based on logarithm domain projection. The intrinsic image has an advantage to remove the shadow effect. Thus, we propose effective projection angle calculation methods in logarithmic domain based on simple statistic, which can eliminate the impact of the direction of camera features. Furthermore, the best whole time projection angle with practical application can be obtained for rapid acquisition of intrinsic image. In the experiment, the proposed methods can weaken the shadow effect for road scene images. In order to evaluate intrinsic image extracted by the proposed methods, the same road detection method is implemented to extract road region. The results demonstrate that the road region detection accuracy based on intrinsic image extracted by our methods are better than the compared methods.
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References
Du, K., Song, Y.-c., Ju, Y.-f.: Improved road detection algorithm based on illuminant invariant. J. Transp. Syst. Eng. Inf. Technol. 17(5), 45–52 (2017)
Alvarez, J.M.Á., Lopez, A.M.: Road detection based on illuminant invariance. IEEE Trans. Intell. Transp. Syst. 12(1), 184–193 (2011)
Wang, B. H., Fremont, V.: Fast road detection from color images. In: IEEE Intelligent Vehicles Symposium, IEEE Press, Piscataway, NJ (2013), pp. 1209–1214
Duan Zhigang, Q., Liangqiong, T.J., Yandong, T.: Outdoor illumination shadow detection based on orthogonal decomposition. Acta Optica Sinica 36(8), 0815002 (2016)
Tsai, V.J.D.: A comparative study on shadow compensation of color aerial images in invariant color models. IEEE Trans. Geosci. Remote Sens. 44(6), 1661–1671 (2006)
Jun, Y., Zhongming, Z., Jian, Y.: A shadow removal method for high resolution remote sensing image. Geomatics and Information Science of Wuhan University 33(1), 17–20 (2008)
Yanbin, H.A.N., Xiaopeng, G.U.O., Yanwen, W.E.I., Hengjian, L.I.: An improved shadow removal algorithm based on RGB and HSI color spaces. CAAI Transactions on Intelligent Systems 10(05), 769–774 (2015)
Xuehua, S., Yan, D., Jianfeng, G., et al.: Shadow removal of vehicles in a video system based on RGB chroma model. In: International Conference on Computer Science and Software Engineering, CSSE 2008, Artificial Intelligence, vol. 1, pp. 977–980, December 12–14, 2008, Wuhan, China. DBLP
Li, Y., Ding, W., Zhang, X., Ju, Z.: Road detection algorithm for autonomous navigation systems based on dark channel prior and vanishing point in complex road scenes. Robotics and Autonomous Systems 85, 1–11 (2016)
Jiang, H., Drew, M.S.: Shadow resistant tracking using inertia constraints. Pattern Recogn. 40(7), 1929–1945 (2007)
Qu, L., Tian, J., Han, Z., et al.: Pixel-wise orthogonal decomposition for color illumination invariant and shadow-free image. Opt. Express 23(3), 2220–2239 (2015)
Tian, J., Qi, X., Qu, L., et al.: New spectrum ratio properties and features for shadow detection. Pattern Recogn. 51(C), 85–96 (2016)
Tian, J., Tang, Y.: Linearity of each channel pixel values from a surface in and out of shadows and its applications. In: Computer Vision and Pattern Recognition. IEEE (2011), pp. 985–992
Lalonde, J.F., Efros, A.A., Narasimhan, S.G.: Detecting ground shadows in outdoor consumer photographs. In: European Conference on Computer Vision. Springer, Berlin, Heidelberg (2010), pp. 322–335
Guo, R., Dai, Q., Hoiem, D.: Paired regions for shadow detection and removal. IEEE Trans. Pattern Anal. Machine Intell. 35, 2956–2967 (2013)
Li, Y., Tong, G., Sun, A., Ding, W.: Road extraction algorithm based on intrinsic image and vanishing point for unstructured road image. Robotics and Autonomous Systems 2018(109), 86–96 (2018)
Wang, E., Li, Y., Sun, A., Gao, H., Yang, J., Fang, Z.: Road detection method based on illuminant invariance image and quadratic estimation. Optik 185, 672–684 (2019)
Finlayson, G.D., Drew, M.S., Lu, C.: Intrinsic images by entropy minimization. In: European Conference on Computer Vision. Springer, Berlin, Heidelberg (2004)
Wyszecki, G.W., Stiles, W.S.: Color science: concepts and methods, quantitative data and equations. Phys. Today 21(6), 83–84 (1968)
Wien, W.: On the division of energy in the emission-spectrum of a black body. Phil. Mag. 43(262), 214–220 (1897). https://doi.org/10.1080/14786449708620983
Mehra, J., Rechenberg, H.: The Historical Development of Quantum Theory, Chapter 1, vol. 1. Springer, Berlin (1982). ISBN 978-0-387-90642-3
Wang, E., Sun, A., Li, Y., Hou, X., Zhu, Y.: Fast vanishing point detection method based on road border region estimation. IET Image Proc. 12(3), 361–373 (2018)
Duan, Z.G., Li, Y., Wang, E.D., Tian, J.D., Tang, Y.D.: Road and navigation line detection algorithm from shadow image based on the illumination invariant image. Acta Optica Sinica 35(7), 224–230 (2016)
Acknowledgements
The authors would like to thank Xingang Li and Yang Li in Beijing Normal University for improving the English of this paper. This research is funded by National Natural Science Foundation of China Grant Nos. 61401455 and 41801241.
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Tong, G., Li, Y., Sun, A. et al. Shadow effect weakening based on intrinsic image extraction with effective projection of logarithmic domain for road scene. SIViP 14, 683–691 (2020). https://doi.org/10.1007/s11760-019-01596-0
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DOI: https://doi.org/10.1007/s11760-019-01596-0