• Prof R. A. TALEY
• Prof P.P.Gawande

Several methods have been proposed for detection and removals of cracks in digitized paintings Cracks not only deteriorate the quality of painting but also question its authenticity. In this paper, cracks are identified by the M3 methods to identify cracks. After detecting cracks, the breaks which are wrongly identified as cracks are separated using region growing. Canny edge detection is used for identify the edges in images. Further, misidentifiedcracks are detected either by involving user intervention or by using a semi-automatic procedure based on region growing technique. Finally, crack interpolation also called crack filling is performed using order statistics filters so as to restore the cracked image. This methodology of detection and elimination of cracks in digitized paintings is shown to be very effective in preserving the edges also

Digital image processing, digitized paintings, crack detection, crack filling, top-hat transform methods, region growing algorithm, canny edge detection, bilateral filter

"DIGITAL RE-ESTABLISHMENT OF CRACK IN OLDER PAINTINGS BY FAST AND EFFICIENT CRACK DETECTION & RESTORATION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.340-343, April-2019, Available :http://www.jetir.org/papers/JETIRBD06065.pdf

"DIGITAL RE-ESTABLISHMENT OF CRACK IN OLDER PAINTINGS BY FAST AND EFFICIENT CRACK DETECTION & RESTORATION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp340-343, April-2019, Available at : http://www.jetir.org/papers/JETIRBD06065.pdf