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Heritage
Special Issues
The Application of Imaging in Cultural Heritage
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The Application of Imaging in Cultural Heritage

A special issue of Heritage (ISSN 2571-9408). This special issue belongs to the section "Cultural Heritage".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 7801

Special Issue Editor

Dr. Raju Shrestha

E-Mail Website
Guest Editor
Department of Computer Science, Oslo Metropolitan University, N-0130 Oslo, Norway
Interests: AI and machine learning; data science; color and spectral imaging; image processing and analysis; assistive technologies; cloud computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Digital imaging is widely used in the documentation and representation of cultural heritage artifacts. Images of a cultural heritage artifacts taken during their lifetime can be used in their conservation and restoration in case of any change or damage over time. One or more imaging methods such as color imaging, HDR imaging, spectral imaging, and 3D imaging can be appropriate for different types of artifacts. Spectral imaging extends traditional trichromatic color imaging by enabling the acquisition of images of a scene in multiple channels that can range from four to hundreds of spectral bands. Spectral imaging can represent materials or objects in the scene in the form of spectral reflectances that can be used as their unique signatures. Technological advances in digital color imaging and spectral imaging have shown a wide range of applications including cultural heritage. HDR imaging can contribute to a better-quality image under varying lighting conditions. 3D imaging also plays an important role in the restoration of three-dimensional objects.

The present Special Issue on “Application of Imaging in Cultural Heritage” aims to present recent research work on imaging applications for conservation, and restoration, as well as in other research on and studies of cultural heritage. Original research papers with novel findings as well as review articles describing the current state of the art and future perspectives within the following list of topics or keywords related but not limited to cultural heritage applications are invited.

Dr. Raju Shrestha
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Heritage is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Imaging technologies and systems: color imaging; spectral (multispectral, hyperspectral) imaging; 3D imaging; HDR imaging; imaging workflow
  • Imaging sensors: technologies; calibration
  • Algorithms: imaging and optimization algorithms
  • Image processing and analysis
  • Machine learning and deep learning applied to imaging of cultural heritage

Published Papers (2 papers)

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Research

18 pages, 5249 KiB  
Article
Imaging Diagnostics Coupled with Non-Invasive and Micro-Invasive Analyses for the Restoration of Ethnographic Artifacts from French Polynesia
by Claudia Colantonio, Luca Lanteri, Alessandro Ciccola, Ilaria Serafini, Paolo Postorino, Erminia Censorii, Doinita Rotari and Claudia Pelosi
Heritage 2022, 5(1), 215-232; https://doi.org/10.3390/heritage5010012 - 17 Jan 2022
Cited by 15 | Viewed by 3038
Abstract
In this paper, two different objects from the ethnographic collection of the museum of the Congregation of the Sacred Hearts of Jesus and Mary (Rome), a Polynesian barkcloth (tapa) and a Polynesian headdress in feathers (pa’e ku’a), were investigated to characterize [...] Read more.
In this paper, two different objects from the ethnographic collection of the museum of the Congregation of the Sacred Hearts of Jesus and Mary (Rome), a Polynesian barkcloth (tapa) and a Polynesian headdress in feathers (pa’e ku’a), were investigated to characterize the materials, to evaluate their state of conservation and address the restoration activities. Imaging methods such as multispectral imaging, 3D ultraviolet induced fluorescence and scanning electron microscopy have been integrated with analytical techniques such as X-ray fluorescence spectroscopy, Fourier transform infrared and surface enhanced Raman spectroscopy. Imaging investigations allowed us to differentiate constitutive materials and study their distribution, such as the yellow dye in the tapa used to trace the geometrical pattern and the psittacofulvins responsible for the feathers’ colors in the headdress. The combination of molecular spectroscopy, supported by observation under a scanning electron microscope, allowed us to propose a characterization of the organic painting materials (Morinda citrifolia, Curcuma longa) used for the tapa, and of the type of feathers (from Vini kuhlii bird) and vegetal fibers (Cocos nucifera L.) used to realize the headdress, as well as enabling the identification of degradation products and microorganisms affecting the artifacts before restoration. Fourier transform infrared spectroscopy detected the organic materials used as adhesives for the tapa and headdress: a polysaccharide, probably starch, for the tapa and a natural rubber from Cerbera manghas L. for the headdress. The results of the multi-analytic diagnostic campaign enabled the choice of proper restoration materials, compatible with the original ones, and helped us develop effective protocols for the artifacts’ conservation, such as laser cleaning of the feathers. Full article
(This article belongs to the Special Issue The Application of Imaging in Cultural Heritage)
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15 pages, 9405 KiB  
Article
A Semi-Automatic Reconstruction of Archaeological Pottery Fragments from 2D Images Using Wavelet Transformation
by Dariush Eslami, Luca Di Angelo, Paolo Di Stefano and Emanuele Guardiani
Heritage 2021, 4(1), 76-90; https://doi.org/10.3390/heritage4010004 - 06 Jan 2021
Cited by 7 | Viewed by 2863
Abstract
The problem of matching fragments of three-dimensional (3D) objects has gained increasing attention, and several approaches have been developed to solve this problem. To date, however, to the best knowledge of the authors, there is no computer-based method supporting archaeologists in this activity. [...] Read more.
The problem of matching fragments of three-dimensional (3D) objects has gained increasing attention, and several approaches have been developed to solve this problem. To date, however, to the best knowledge of the authors, there is no computer-based method supporting archaeologists in this activity. For this purpose, in this paper, a semi-automatic approach is proposed for the reconstruction of archaeological pottery fragments based on two-dimensional (2D) images. Firstly, the method, considering the curves as features, involves the extraction of edge curves by applying the Canny filter algorithm to the fragments’ image. Next, the wavelet transformation method is used to fit the edge curves and obtain the approximation coefficients. Then, the correlation coefficients between fragments are computed and the matching of fragments is done by comparing their values. The proposed approach is tested on some real cases. The results of the experimentation show, if compared with the state-of-the-art, that the method seems to be efficient and accurate in the reconstruction of pottery from 2D images of their fragments. Full article
(This article belongs to the Special Issue The Application of Imaging in Cultural Heritage)
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