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Proceedings Paper

Recognition and inference of crevice processing on digitized paintings
Author(s): S. P. Karuppiah; S. K. Srivatsa
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Paper Abstract

This paper is designed to detect and removal of cracks on digitized paintings. The cracks are detected by threshold. Afterwards, the thin dark brush strokes which have been misidentified as cracks are removed using Median radial basis function neural network on hue and saturation data, Semi-automatic procedure based on region growing. Finally, crack is filled using wiener filter. The paper is well designed in such a way that most of the cracks on digitized paintings have identified and removed. The paper % of betterment is 90%. This paper helps us to perform not only on digitized paintings but also the medical images and bmp images. This paper is implemented by Mat Lab.

Paper Details

Date Published: 14 March 2013
PDF: 7 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876826 (14 March 2013); doi: 10.1117/12.2010864
Show Author Affiliations
S. P. Karuppiah, Jawaharlal Nehru Technological Univ. (India)
S. K. Srivatsa, St. Joseph's College of Engineering (India)

Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

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