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文章基本信息

  • 标题:Crack Classification and Interpolation of Old Digital Paintings
  • 本地全文:下载
  • 作者:Shruti Garg ; G. Sahoo
  • 期刊名称:Journal of Computer Sciences and Applications
  • 印刷版ISSN:2328-7268
  • 电子版ISSN:2328-725X
  • 出版年度:2013
  • 卷号:1
  • 期号:5
  • 页码:85-90
  • DOI:10.12691/jcsa-1-5-2
  • 语种:English
  • 出版社:Science and Education Publishing
  • 摘要:Paintings which was handled roughly or made from low quality paint or base usually suffers from crack in a long run, which causes them to lose some of the information. This paper discuss about automatic approach for classification and interpolation of cracks. For classification supervised and unsupervised methods were implemented and for interpolation different order statistics filter were applied. Experimental result shows that unsupervised classification works better than supervised classification. And variable size window filter works best for interpolation of cracks.
  • 关键词:crack detection; top-hat transform; median filter; trimmed filter; back propagation algorithm; fuzzy c-means algorithm
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