The week's pick
Reseach Article
Crack Detection and Restoration in Digitized Paintings by using Top Hat Transform Method and Median Filter
| 2nd National Conference on Information and Communication Technology |
| Foundation of Computer Science USA |
| NCICT - Number 4 |
| November 2011 |
| Authors: Prateeksha Chouksey, Pratik Chouksey, Pranali Dandekar |
| 89f92b67-a12c-4f64-bc57-35528a7e2c1c |
Prateeksha Chouksey, Pratik Chouksey, Pranali Dandekar . Crack Detection and Restoration in Digitized Paintings by using Top Hat Transform Method and Median Filter. 2nd National Conference on Information and Communication Technology. NCICT, 4 (November 2011), 19-21.
Abstract
Digital Restoration is an integrated methodology for the detection and removal of cracks from digitized paintings. The older paintings suffer from breaks in the substrate, the paint, or the varnish. When we digitized these paintings, they can be modified using mathematical algorithms and cracks are eliminated soas to maintain the quality. The cracks are detected by thresholding the output of the morphological top hat transform. Cracks usually have low luminance and, thus, can be considered as local intensity minima with rather elongated structural characteristics. A crack detector can be applied on the luminance component of an image to identify such minima. Afterwards, the thin dark brush strokes which have been misidentified as cracks are removed using either a median radial basis function neural network on hue and saturation data or a semi-automatic procedure based on region growing. Finally, crack filling using order statistics filters such as median filter is performed. The methodology has been shown to perform very well on digitized paintings suffering from cracks, thereby ensuring its originality.
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