Digital Restoration of Cracks Based on Image Processing
Vaibhav V. Khandare, Vaibhav V. Khandare · 2015
This paper presents of restoration of cracks in digitized paintings. It is also used as a nondestructive tool for the actual restoration. The user must select an area on each crack that to be restored. The cracks are identified and detected by Gabor which is an integrated methodology for removal of cracks. First, we filter the selected crack image using 8 differently oriented Gabor filters. We describe an orientation-based feature extraction method to represent a crack network from sets of local orientation features. The resultant features are used for crack filling with median filter and weighted median filter. The methodology has been shown to perform very well on digitized paintings suffering from cracks.