Detection and discrimination of cracked digitized paintings based on image processing methodology

Abdulwahab, Nawafil and Shaikh, Amina and Shah, Asadullah and Mahdi, Ghulam and Rang, Ali Raza (2023) Detection and discrimination of cracked digitized paintings based on image processing methodology. In: 8th IEEE International Conference on Engineering, Technology and Sciences (ICETAS 2023), 25th - 27th October 2023, Bahrain.

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Abstract

With the passage of time, paintings can be damaged, and common deteriorations found in ancient paintings include cracking. Cracks can be caused by many factors, such as ageing, drying, and mechanical factors. The detection and restoration of crack formation on the earliest digitized paint surface concede great significance and safety for cultural heritages. particular, this paper is based on image processing methodology to detect and discriminate cracks. First, images are enhanced in the preprocessing stage for further processing. Then two proposed algorithms are employed to detect and separate medium and thin crack images. The experiments show better results compared with previous work. This study also confirms that the proposed image processing algorithms are an efficient and robust tool for the detection and discrimination of cracks.

Item Type:	Proceeding Paper (Plenary Papers)
Uncontrolled Keywords:	Detection, Discrimination, Cracked Paintings, Image Processing Methodology
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof Asadullah Shah
Date Deposited:	27 Dec 2023 11:12
Last Modified:	26 Jan 2024 09:00
URI:	http://irep.iium.edu.my/id/eprint/109233

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