• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2014, Vol. 36 ›› Issue (02): 298-302.

• 论文 • Previous Articles     Next Articles

Murals inpainting based on color clustering image segmentation and the improved FMM algorithm       

REN Xiaokang,DENG Linkai   

  1. (College of Computer Science and Engineering,Northwest Normal University,Lanzhou 730070,China)
  • Received:2012-07-21 Revised:2012-12-05 Online:2014-02-25 Published:2014-02-25

Abstract:

 In recent years, due to the various environmental and artificial factors, murals are destroyed to some extent. In order to make people appreciate the original style and features of murals, carry on the research and development of these cultural resources, and restore the original frescoes appearance, the paper proposes a murals fade and scratch repair algorithm. Based on Lαβ color space, for the first time, this algorithm proposes to use the color clustering and masking algorithm to segment and extract the damaged mural regions. Besides, according to the drawback that the transmission direction of the FMM algorithm does not fully cover the to-be-repaired regions, we propose to use some features of gradient histogram to optimize the transmission direction. Experiments prove that the algorithm has good effect on repairing damaged murals.

Key words: mural inpainting;Lα&beta, color space;color clustering;masking algorithm;FMM;gradient histogram