Crack Classification and Interpolation of Old Digital Paintings

Shruti Garg^1, and G. Sahoo²

¹Department of CSE, BIT, Mesra, Ranchi, Jharkhand, India

²Department IT, BIT, Mesra, Ranchi, Jharkhand, India

Cite this paper:
Shruti Garg and G. Sahoo. Crack Classification and Interpolation of Old Digital Paintings. Journal of Computer Sciences and Applications. 2013; 1(5):85-90. doi: 10.12691/jcsa-1-5-2

Abstract

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.

Keywords:
crack detection top-hat transform median filter trimmed filter back propagation algorithm fuzzy c-means algorithm

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