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 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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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

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