Open AccessVirtual restoration of cracks in digitized image of paintings
Author(s) -
Giuseppe Schirripa Spagnolo,
Federica Somma
Publication year - 2010
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/249/1/012059
Subject(s) - microelectronics , thresholding , materials science , brush , gloss (optics) , artificial intelligence , computer science , composite material , computer vision , image (mathematics) , coating , nanotechnology
An integrated methodology for the detection and removal of cracks on digitized\udimage is presented in this paper. Crack-like pattern detection have been a matter of high\udconcern among researchers mostly for its useful contribution to a variety of applications. The\udresults presented here regard the craquelure of old paintings, however, the same methodology\udcan be used for a much wider set of application. Many images contain similar patterns: crack in\udprotective coating for polymers and other surfaces; fatigue crack in MEMS/NEMS; crack in\udepoxies used for underfill and encapsulation microelectronics components; etc. In this paper\udthe cracks are detected by thresholding the output of the morphological top-hat transform.\udAfterwards, the thin dark brush strokes which have been misidentified as cracks are removed\udusing automatic procedure. Finally, crack filling using texture synthesis algorithms. The\udmethodology has been shown to perform very well on digitized images suffering from cracks