Detection of cracked digitized paintings and manuscripts based on threshold techniques

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 mec...

Full description

Bibliographic Details
Main Authors:	abdulwahab, Nawafil, Taha Alshaikhli, Imad Fakhri, Hassan, Raini, Ismail, Amelia Ritahani
Format:	Article
Language:	English English
Published:	American Scientific Publishers 2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/76755/ http://irep.iium.edu.my/76755/ http://irep.iium.edu.my/76755/1/16CTN-8004-nawafil.pdf http://irep.iium.edu.my/76755/7/76755_Detection%20of%20cracked%20digitized%20paintings%20and%20manuscripts%20based%20on%20threshold%20techniques_Scopus.pdf

id	iium-76755
recordtype	eprints
spelling	iium-767552020-03-02T02:23:55Z http://irep.iium.edu.my/76755/ Detection of cracked digitized paintings and manuscripts based on threshold techniques abdulwahab, Nawafil Taha Alshaikhli, Imad Fakhri Hassan, Raini Ismail, Amelia Ritahani QA75 Electronic computers. Computer science 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. American Scientific Publishers 2019-03 Article PeerReviewed application/pdf en http://irep.iium.edu.my/76755/1/16CTN-8004-nawafil.pdf application/pdf en http://irep.iium.edu.my/76755/7/76755_Detection%20of%20cracked%20digitized%20paintings%20and%20manuscripts%20based%20on%20threshold%20techniques_Scopus.pdf 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 http://www.aspbs.com/ctn/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science abdulwahab, Nawafil Taha Alshaikhli, Imad Fakhri Hassan, Raini Ismail, Amelia Ritahani Detection of cracked digitized paintings and manuscripts based on threshold techniques
description	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.
format	Article
author	abdulwahab, Nawafil Taha Alshaikhli, Imad Fakhri Hassan, Raini Ismail, Amelia Ritahani
author_facet	abdulwahab, Nawafil Taha Alshaikhli, Imad Fakhri Hassan, Raini Ismail, Amelia Ritahani
author_sort	abdulwahab, Nawafil
title	Detection of cracked digitized paintings and manuscripts based on threshold techniques
title_short	Detection of cracked digitized paintings and manuscripts based on threshold techniques
title_full	Detection of cracked digitized paintings and manuscripts based on threshold techniques
title_fullStr	Detection of cracked digitized paintings and manuscripts based on threshold techniques
title_full_unstemmed	Detection of cracked digitized paintings and manuscripts based on threshold techniques
title_sort	detection of cracked digitized paintings and manuscripts based on threshold techniques
publisher	American Scientific Publishers
publishDate	2019
url	http://irep.iium.edu.my/76755/ http://irep.iium.edu.my/76755/ http://irep.iium.edu.my/76755/1/16CTN-8004-nawafil.pdf http://irep.iium.edu.my/76755/7/76755_Detection%20of%20cracked%20digitized%20paintings%20and%20manuscripts%20based%20on%20threshold%20techniques_Scopus.pdf
first_indexed	2023-09-18T21:48:24Z
last_indexed	2023-09-18T21:48:24Z
_version_	1777413604973215744

Detection of cracked digitized paintings and manuscripts based on threshold techniques

Similar Items