Abstract
Shadows are physical phenomena observed in most natural scenes. They can cause many problems in computer vision performance. The paper addresses the problem of shadow detection and removal from solo image of natural scenes. Our method is based on Retinex theory which is an image enhancement and illumination compensation model of the lightness and color perception of human vision. The approach proposed here does not use any special prior knowledge and assumptions. The shadow extraction algorithm originates from a simple idea that the human-vision-based Retinex has the natural ability to enhance the shadow region of an image no matter it is penumbrae or umbrae. The penumbrae and umbrae regions will be highlighted if we compare the Retinex-enhanced images with original images. Then through adding smooth light forcibly to shadow edges and introducing shadow edge masks, we reduce the effects of shadow edges in the Retinex enhancement processing. Experiment results validate the approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hao, J., Mark, S.D.: Tracking objects with shadows. In: Bhaskaran, V., Hsing, T.R., Andrew, G.T., Touradj, E. (eds.) SPIE, vol. 5022, pp. 512–521 (2003)
Wang, J.M., Wang, J.M., Chung, Y.C., Chang, C.L., Chen, S.W.: Shadow detection and removal for traffic images. In: Chung, Y.C. (ed.) 2004 IEEE International Conference on Networking, Sensing and Control, pp. 1649–1654 (2004)
Bevilacqua, A.: A Novel Shadow Detection Algorithm for Real Time Visual Surveillance Applications. Image Analysis and Recognition, pp. 906–917 (2006)
Prati, A., Prati, A., Mikic, I., Trivedi, M.M., Cucchiara, R.A.C.R.: Detecting moving shadows: algorithms and evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 25, 918–923 (2003)
Cucchiara, R., Cucchiara, R., Grana, C., Piccardi, M., Prati, A.A.P.A.: Detecting moving objects, ghosts, and shadows in video streams. IEEE Transactions on Pattern Analysis and Machine Intelligence 25, 1337–1342 (2003)
Leone, A., Distante, C.: Shadow detection for moving objects based on texture analysis. Pattern Recogn. 40, 1222–1233 (2007)
Martel-Brisson, N., Martel-Brisson, N., Zaccarin, A.: Learning and Removing Cast Shadows through a Multidistribution Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence 29, 1133–1146 (2007)
Pinel, J.M., Pinel, J.M., Nicolas, H.: Shadows analysis and synthesis in natural video sequences. In: Nicolas, H. (ed.) Proceedings of 2002 International Conference on Image Processing, vol. 3, pp. 285–288 (2002)
Gevers, T., Gevers, T., Stokman, H.M.G.: Classifying color transitions into shadow-geometry, illumination, highlight or material edges. In: Stokman, H.M.G. (ed.) Proceedings of 2000 International Conference on Image Processing, vol. 1, pp. 521–524 (2000)
Nielsen, M., Madsen, C.: Segmentation of Soft Shadows Based on a Daylight- and Penumbra Model. Computer Vision/Computer Graphics Collaboration Techniquespp, pp. 341–352 (2007)
Finlayson, G., Drew, M., Lu, C.: Intrinsic Images by Entropy Minimization. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3023, pp. 582–595. Springer, Heidelberg (2004)
Finlayson, G., Hordley, S., Drew, M.: Removing Shadows from Images. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2353, pp. 129–132. Springer, Heidelberg (2002)
E.H.Land, J.J.M.: Recent Advances in Retinex Theory and Some Implications for Cortical Computations: Color Vision and The Natural Images. Proc. Natl. Acad. Sci. USA 80, 5163–5169 (1983)
Jobson, D.J., Jobson, D.J., Rahman, Z., Woodell, G.A.: A multiscale retinex for bridging the gap between color images and the human observation of scenes. IEEE Transactions on Image Processing 6, 965–976 (1997)
Kimmel, R., Elad, M., Shaked, D., Keshet, R.: A variational framework for retinex. International Journal of Computer Vision 52, 7–23 (2003)
Funt, B.V.B.K., Brockington, M., Cardei, V.: Luminance-based multi-scale Retinex. In: AIC Color 1997, Kyoto, Japan (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sun, J., Du, Y., Tang, Y. (2008). Shadow Detection and Removal from Solo Natural Image Based on Retinex Theory. In: Xiong, C., Huang, Y., Xiong, Y., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88513-9_71
Download citation
DOI: https://doi.org/10.1007/978-3-540-88513-9_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88512-2
Online ISBN: 978-3-540-88513-9
eBook Packages: Computer ScienceComputer Science (R0)