1Assistant Professor, Department of IT, IME Group of Colleges, Sahibabad, Ghaziabad, Uttar Pradesh, 201005, India. E-mail: poonamyadav1803@gmail.com
2Assistant Professor, CPJ Group of Institution, Delhi, India E-mail: priyankamanu5@gmail.com
3Assistant Professor, Department of IT, IME Group of Colleges, Sahibabad, Ghaziabad, Uttar Pradesh, 201005, India. E-mail: honeyKumar644@gmail.com
*Corresponding Author: Poonam Yadav, Assistant Professor, Department of IT, IME Group of Colleges, Sahibabad, Ghaziabad, Uttar Pradesh, 201005, India, E-mail: poonamyadav1803@gmail.com
Online published on 31 January, 2020.
The main objective of this study is to analysis the digital image processing technique for the detection and the restoration of the cracks. Numerous methods have been proposed for the detection and restoration of the cracks in digitized painting. In this review existing methods have been critically analysed based on mathematical morphology top-hat transform for crack detection, and a modified adaptive median filter for restoration of cracks during 2010–2015. The methodology performs very well on digitized paintings suffering from cracks.
MRBF, Crack detection, WTH, NN, MANF
