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...

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Main Authors: abdulwahab, Nawafil, Taha Alshaikhli, Imad Fakhri, Hassan, Raini, Ismail, Amelia Ritahani
Format: Article
Language:English
English
Published: American Scientific Publishers 2019
Subjects:
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
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