Style strokes extraction based on color and shape information

Authors:
Jianming Liu;Dongming Lu;Xiqun Lu;Xifan Shi
Affiliations:
College of Computer Science and Technology, Zhejiang University;College of Computer Science and Technology, Zhejiang University;College of Computer Science and Technology, Zhejiang University;College of Computer Science and Technology, Zhejiang University
Venue:
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Year:
2006

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Abstract

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.