Implementation of Total Variation algorithm for better interpretation of radiography images of Tavichi family historic hats - Journal of Research on Archaeometry
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year 8, Issue 1 (2022)                   JRA 2022, 8(1): 83-95 | Back to browse issues page


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Pazira F, Yahaghi E, Movafeghi A, Madrid Garcia J A. Implementation of Total Variation algorithm for better interpretation of radiography images of Tavichi family historic hats. JRA 2022; 8 (1) :83-95
URL: http://jra-tabriziau.ir/article-1-320-en.html
1- Department of Physics, Faculty of Science, Imam Khomeini International University, Qazvin, Iran
2- Department of Physics, Faculty of Science, Imam Khomeini International University, Qazvin, Iran , yahaghi@sci.ikiu.ac.ir
3- Reactor and Nuclear Safety Research School, Nuclear Science and Technology Research Institute, Tehran, Iran
4- Department of Conservation and Restoration of Cultural Heritage, Valencia Polytechnic University, Valencia, Spain
Abstract:   (718 Views)
Hats are used to protect the head and for safety or fashion in different cultures and nations. Identifying the fabric, designs, and sewing the hat can give us good information about the history of fashion in different nations. In this study, five hats belonging to the Tavichi family in Italy were investigated by radiography. The design and construction, morphology, internal structure and damaged regions have been considered. Image processing algorithms can increase the quality of radiography images. In this research, total variation (TV) and shape from shading (SFS) algorithms have been used to enhance the quality of the images. The TV method is based on minimizing the changes and is used to eliminate noise in images. In the 3D method, a 3D image is created from a 2D image based on the light reflected. The results show that radiography testing is an effective method for identifying the structure of old hats and can show the internal structure and connections of the components without splitting the fabric. The processed images also have better contrast and can be used to identify components and structures. The radiography and restoration experts have evaluated the reconstructed images. They have confirmed the effectiveness of processing methods in extracting efficient information from radiographs. Also, the profile lines of the images show that the contrast changes in the reconstructed images are greater than the original radiographs, and the components of the reconstructed images are clearer.
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Technical Note: Original Research | Subject: Conservation Science
Received: 2022/04/22 | Accepted: 2022/07/16 | Published: 2022/08/21 | ePublished: 2022/08/21

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