Detection of cracked digitized paintings and manuscripts based on threshold techniques

abdulwahab, Nawafil and Taha Alshaikhli, Imad Fakhri and Hassan, Raini and Ismail, Amelia Ritahani (2019) Detection of cracked digitized paintings and manuscripts based on threshold techniques. Journal of Computational and Theoretical Nanoscience, 16 (3). pp. 1108-1113. ISSN 1546-1955 E-ISSN 1546-1963

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Abstract

Ancient paintings are cultural heritages that requireextensive and intricate preservation undertakings. With the passage of time, paintings can be damaged, and common deteriorations found in the ancient paintings include cracking. Cracks can be caused by many factors, such as aging, drying, and mechanical factors. Fortunately, digital images of ancient paintings can be restored using image processing techniques. This work involved with the development of an automatic crack detection system. First, the binarization technique was applied to the digital images that allowed for the extraction of cracks from the background of these images, based on the thresholding segmentation technique after using the top-hat transformation technique during pre-processing. Thin dark patterns that were misidentified as cracks were then automatically removed. This was then followed by the crack filling via order statistic algorithm. The main contribution of this paper is a simple and robust monochrome method that can be used to restore digital images of historical paintings and manuscripts.

Item Type:	Article (Journal)
Additional Information:	6534/76755
Uncontrolled Keywords:	Crack Detection, Classification, Threshold, Top-Hat Transform, Filling
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Professor Imad Taha
Date Deposited:	20 Dec 2019 15:25
Last Modified:	13 Apr 2020 18:04
URI:	http://irep.iium.edu.my/id/eprint/76755

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