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Valli Madhavi, K.
- An Innovative Method for Tracking and Interpolating of Cracks to Recover Real Image Feature
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Authors
Affiliations
1 Department of computer Applications, GIET, Rajahmundry.
2 Department of EXTC, SFIT, Mumbai.
1 Department of computer Applications, GIET, Rajahmundry.
2 Department of EXTC, SFIT, Mumbai.
Source
International Journal of Engineering studies, Vol 5, No 1 (2013), Pagination: 81-89Abstract
A methodology for the detection and removal of cracks on digitized paintings is presented in this paper. The cracks are detected by thresholding the output of the morphological top-hat transform. Afterwards, the thin dark brush strokes which have been misidentified as cracks are removed using Median Radial Basis Function (MRBF) neural network on hue and saturation data or a semi-automatic procedure based on region growing. Finally, crack filling using order statistics filters or controlled anisotropic diffusion is performed. The methodology has been shown to perform very well on digitized paintings suffering from cracks. Within limited testing, the accuracy of the detection and analysis of cracks is better with the proposed method than with conventional methods.Keywords
Thresholding, Cracks, Digitized Paintings, Neural Networks, Median Radial Basis Function, Top Hat Transform, Statistics Filters, Cracks Detection
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