A surface errors locator system for ancient culture preservation

  • Authors:
  • Yimin Yu;Duanqing Xu;Chun Chen;Yijun Yu;Lei Zhao

  • Affiliations:
  • College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, P.R. China;College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, P.R. China;College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, P.R. China;College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, P.R. China;College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, P.R. China

  • Venue:
  • ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
  • Year:
  • 2006

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Abstract

We present a novel system to find the surface errors for preservation and reappearance of cultural relic image better. Our approach firstly transforms images to HSL color space in accord with human vision and deal with the lightness of color conveniently. Next we use color cluster method to increase the locator accuracy. Finally we apply features analysis to find the error automatically. This procedure is consist of two phases: the Lightness of error detecting and the Adaptive detection filtering. Our technique can be applied to many areas, especially our ancient culture preservation, such as the renaissance of the costly fresco of Dunhuang, which is urgently desiderated protection. Experiments show the effects of our technique and its application foreground is attractive.