Title :
Digital image processing techniques for the detection and removal of cracks in digitized paintings
Author :
Giakoumis, Ioannis ; Nikolaidis, Nikos ; Pitas, Ioannis
Author_Institution :
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece
Abstract :
An integrated 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. Afterward, 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 or controlled anisotropic diffusion is performed. The methodology has been shown to perform very well on digitized paintings suffering from cracks.
Keywords :
feature extraction; filtering theory; image restoration; radial basis function networks; transforms; controlled anisotropic diffusion; crack detection; crack filling; crack removal; digital image processing techniques; digitized paintings; median radial basis function neural network; morphological top-hat transform; order statistics filters; region growing; saturation data; semiautomatic procedure; Digital images; Filling; Filters; Image restoration; Interpolation; Motion detection; Painting; Paints; Radial basis function networks; Statistics; Anisotropic diffusion; detection of cracks; order statistics filters; top-hat transformation; virtual restoration of paintings; Algorithms; Artifacts; Artificial Intelligence; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Paintings; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2005.860311
