Recognition and inference of crevice processing on digitized paintings

S. P. Karuppiah; S. K. Srivatsa

doi:10.1117/12.2010864

14 March 2013 Recognition and inference of crevice processing on digitized paintings

S. P. Karuppiah, S. K. Srivatsa

Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 876826 (2013) https://doi.org/10.1117/12.2010864
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore

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.

Citation Download Citation

S. P. Karuppiah and S. K. Srivatsa "Recognition and inference of crevice processing on digitized paintings", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876826 (14 March 2013); https://doi.org/10.1117/12.2010864

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