Style Strokes Extraction Based on Color and Shape Information

  • Jianming Liu
  • Dongming Lu
  • Xiqun Lu
  • Xifan Shi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4261)


Taking Dunhuang MoGao Frescoes as research background, a new algorithm to extract style strokes from fresco images is proposed. All the pixels in a fresco image are classified into either the stroke objects or the non-stroke objects, and the strokes extraction problem is defined as the process of selecting pixels that forms stroke objects from a given image. The algorithm first detects most likely ROIs (Region-Of-Interest) from the image using stroke color and shape information, and produces a stroke color similarity map and a stroke shape constraint map. Then these two maps are fused to extract style strokes. Experimental results have demonstrated its validity in extracting style strokes under certain variations. This research has the potential to provide a computer aided tool for artists and restorers to imitate and restore time-honored paintings.


Shape Information Skin Detection Image Enhancement Technique Edge Detection Operator Canny Algorithm 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Liu, J., Lu, D., Shi, X.: Interactive Sketch Generation for Dunhuang Frescoes. In: Pan, Z., Aylett, R.S., Diener, H., Jin, X., Göbel, S., Li, L. (eds.) Edutainment 2006. LNCS, vol. 3942, pp. 943–946. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  2. 2.
    Canny, J.: A Computational Approach to Edge Detection. IEEE Trans. ON Pattern Analysis and Machine Intelligence 8(6), 679–698 (1986)CrossRefGoogle Scholar
  3. 3.
    Chen, H., Xu, Y.Q., Shum, H.Y., Zhu, S.C., Zheng, N.N.: Example-based facial sketch generation with non-parametric sampling. In: Proc. Of ICCV 2001, vol. 2, pp. 433–438 (2001)Google Scholar
  4. 4.
    Su, S.L., Xu, Y.Q., Shum, H.Y., Chen, F.: Simulating artistic brushstrokes using interval splines. In: Proc. Of the 5th IASTED International Conference on Computer Graphics and Imaging (CGIM 2002), Kauai, Hawaii, August 2002, pp. 85–90 (2002)Google Scholar
  5. 5.
    Hertzmann, A.: A survey of stroke-based rendering. IEEE Computer Graphics and Applications 23(4), 70–81 (2003)CrossRefGoogle Scholar
  6. 6.
    Dony, R.D., Wesolkowski, S.: Edge detection in RGB using jointly Euclidean distance and vector angle. In: Proc. Vision Interface 1999, Canada (1999)Google Scholar
  7. 7.
    Way, D.-L., Shih, Z.-C.: The Synthesis of Rock Textures in Chinese Landscape Painting. EUROGRAPHICS 20(3) (2001)Google Scholar
  8. 8.
    Vezhnevets, V., Sazonov, V., Andreeva, A.: A Survey on Pixel-Based Skin Color Detection Techniques. In: Proc. Graphicon 2003, Moscow, Russia, pp. 85–92 (September 2003)Google Scholar
  9. 9.
    Brand, J., Mason, J.: A Comparative Assessment of Three Approaches to Pixel-Level Human Skin Detection. In: Proc. IEEE Int’l Conf. Pattern Recognition, vol. 1, September 2000, pp. 1056–1059 (2000)Google Scholar
  10. 10.
    Phung, S.L., Bouzerdoum, A., Chai, D.: Skin Segmentation Using Color Pixel Classification: Analysis and Comparison. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(1), 148–154 (2005)CrossRefGoogle Scholar
  11. 11.
    Ruiz-del-Solar, J., Verschae, R.: Skin Detection using Neighborhood Information, fgr. In: Sixth IEEE International Conference on Automatic Face and Gesture Recognition, p. 463 (2004)Google Scholar
  12. 12.
    Meyer, F.: Iterative image transformations for an automatic screening of cervical smears. J. Histoch. Cytochem. 27 (1979)Google Scholar
  13. 13.
    Pun, T.: Entropic thresholding: A new approach. Comput. Vision Graphics Image Process. 16, 210–239 (1981)CrossRefGoogle Scholar
  14. 14.
    Fan, J., Yau, D.K.Y., Elmagarmid, A.K., Aref, W.G.: Automatic image segmentation by integrating color-edge extraction and seeded region growing. IEEE Trans. Image Process 10, 1454–1466 (2001)MATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jianming Liu
    • 1
  • Dongming Lu
    • 1
    • 2
  • Xiqun Lu
    • 1
  • Xifan Shi
    • 1
  1. 1.College of Computer Science and TechnologyZhejiang University 
  2. 2.State Key Lab. of CAD and CGZhejiang UniversityHangzhouChina

Personalised recommendations