Abstract
This paper presents an efficient algorithm for removing the specular noise and undesired shades in images of objects and documents acquired with a 3D-Scanner. The basic principle of such device is to photograph objects by taking multiple images with different illumination sources.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Canny, J.: A Computational Approach To Edge Detection. IEEE Trans. Pattern Analysis and Machine Intelligence 8(6), 679–698 (1986)
Gonzalez, R., Woods, R.: Digital Image Processing, 3rd edn., pp. 68–102, 259–300. Prentice Hall (2008)
Landon, G.V., Lin, Y., Seales, W.B.: Towards Automatic Photometric Correction of Casually Illuminated Documents. In: IEEE Conference on Computer Vision and Pattern Recognition (2007)
Liang, J., Doermann, D., Li, H.: Camera-Based Analysis of Text and Documents: A Survey. International Journal on Document Analysis and Recognition (2005)
Liang, J., DeMenthon, D., Doermann, D.: Geometric Rectification of Camera-Captured Document Images. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(4), 591–605
Lins, R.D., Pereira e Silva, G.F., Banergee, S., Kuchibhotla, S., Thielo, M.: Automatically Detecting and Classifying Noises in Document Images. In: ACM-SAC 2010, vol. 1, pp. 33–39. ACM Press (2010)
Lins, R.D., Gomes e Silva, A.R., Pereira e Silva, G.: Enhancing Document Images Acquired Using Portable Digital Cameras. In: Kamel, M.S., Campilho, A. (eds.) ICIAR 2007. LNCS, vol. 4633, pp. 1229–1241. Springer, Heidelberg (2007)
Saint-Pierre, C.-A., Boisvert, J., Grimard, G., Cheriet, F.: Detection and correction of specular reflections for automatic surgical tool segmentation in thoracoscopic images. In: Machine Vision and Applications, vol. V22(1), pp. 171–180. Springer (2007)
de Oliveira, D.M., Lins, R.D.: Improving the Border Detection and Image Enhancement Algorithms in Tableau. In: Campilho, A., Kamel, M.S. (eds.) ICIAR 2008. LNCS, vol. 5112, pp. 1111–1121. Springer, Heidelberg (2008)
Oliveira, D.M., Lins, R.D., Torreão, G., Fan, J., Thielo, M.: A New Method for Text-line Segmentation for Warped Documents. In: Campilho, A., Kamel, M. (eds.) ICIAR 2010. LNCS, vol. 6112, pp. 398–408. Springer, Heidelberg (2010)
Otsu, N.: A threshold selection method from gray level histograms. IEEE Trans. Syst. Man Cybern. v(9), 62–66 (1979)
Mariano, E., Lins, R.D., Pereira e Silva, G.F., Fan, J., Majewicz, P., Thielo, M.: Correcting Specular Noise in Multiple Images of Photographed Documents. In: ICDAR 2011 - International Conference on Document Analysis and Recognition, pp. 111–116. IEEE Press, Pequim (2011)
ImageJ: http://rsbweb.nih.gov/ij/ (accessed March 20, 2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lins, R.D., de França Pereira e Silva, G., Mariano, E., Fan, J., Majewicz, P., Thielo, M. (2013). Removing Shade and Specular Noise in Images of Objects and Documents Acquired with a 3D-Scanner. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2013. Lecture Notes in Computer Science, vol 7950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39094-4_34
Download citation
DOI: https://doi.org/10.1007/978-3-642-39094-4_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39093-7
Online ISBN: 978-3-642-39094-4
eBook Packages: Computer ScienceComputer Science (R0)