Fracture and internal structure detection of ceramic objects using improved digital radiography images.
• Radiography testing (RT) is an effective, non-invasive method for the detection of hidden structures and details of ancient ceramic objects. • The image processing methods are the efficient tool for maximizing of detail extraction from the radiographs. • The fast bilateral filter (FBF) is a fast i...
| Publicado en: | Journal of Cultural Heritage Vol. 44; pp. 152 - 163 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Jul2020
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=145035063&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 145035063 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 12962074 KK8 jtl: Journal of Cultural Heritage issn: 12962074 maglogo: N pubinfo: dt: Jul2020 vid: 44 pid: 467 pub: Elsevier B.V. artinfo: ui: 145035063 10.1016/j.culher.2020.02.003 ppf: 152 ppct: 11 formats: tig: atl: Fracture and internal structure detection of ceramic objects using improved digital radiography images. aug: au: Yahaghi, Effat Madrid Garcia, Jose A. Movafeghi, Amir affil: Imam Khomeini International University, Qazvin, Iran University Institute for the Restoration of the Patrimony, Universitat Politècnica de València, Valencia, Spain Nuclear Science and Technology Research Institute (NSTRI), Tehran, Iran su: Digital images Medical digital radiography Image processing Manufacturing processes Gaussian function Data modeling Spain sug: subj: Spain Digital images Medical digital radiography Image processing Manufacturing processes Gaussian function Data modeling keyword: Ceramic antique object Fast bilateral filter Fracture detection Internal structure Radiography testing ab: • Radiography testing (RT) is an effective, non-invasive method for the detection of hidden structures and details of ancient ceramic objects. • The image processing methods are the efficient tool for maximizing of detail extraction from the radiographs. • The fast bilateral filter (FBF) is a fast image processing method that enhances visualization of the radiographs of ceramic objects. • Thanks to the FBF; the pathologies of the objects and the hidden morphologies of art pieces can be dimensioned much better in enhanced image. • Better visualization of the processed radiographs have been confirmed by the conservators and restaurateurs of cultural heritage. Radiography testing (RT) is an effective, non-invasive method for the detection of hidden structures, details and fracture regions of valuable ancient ceramic objects. To maximize detail extraction from the radiographs and to better interpret images, we use an efficient image processing method that reveals the design and defect regions of objects. For larger radiographic images, it is preferable that a desktop computer is capable of processing the algorithm. Algorithms that require a large memory size and CPU time necessitate the resizing of the images, resulting in lower quality output images. In this study, the fast bilateral filter (FBF) was implemented to enhance the visualization of the radiographs of ceramic objects from the archaeological museum of Burriana, Spain. The digital radiographs were provided by a computed radiography (CR) system at the Laboratory of Documentation and Registration in the University Institute for the Restoration of the Patrimony (IRP) of the Universitat Politècnica de València (UPV), Spain. The FBF method based on the Fourier series and the truncated Gaussian function was successfully implemented with radiographs of antique objects. The results show that the internal structures, manufacturing processes, and fractures are better visualized and the edges and fine details are preserved. The design details were shown to be better visualized than the original radiographs based on opinions and evaluations from experts in radiography and the conservation and restoration of cultural heritage. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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