Special Issue "The Application of Imaging in Cultural Heritage"

A special issue of Heritage (ISSN 2571-9408).

Deadline for manuscript submissions: 15 May 2021.

Special Issue Editor

Dr. Raju Shrestha
Website
Guest Editor
Department of Computer Science, Oslo Metropolitan University, N-0130 Oslo, Norway
Interests: AI & machine learning; data science; color and Imaging; image processing and analysis; universal design in ICT

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.dlhwdz.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 papers will be 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 quarterly 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 1200 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 (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
A Semi-Automatic Reconstruction of Archaeological Pottery Fragments from 2D Images Using Wavelet Transformation
Heritage 2021, 4(1), 76-89; https://doi.org/10.3390/heritage4010004 - 06 Jan 2021
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)

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: A Semi-Automatic Reconstruction of Archaeological Pottery Fragments from 2D images using Wavelet Transformation
Authors: Dariush Eslami; Luca Di Angelo; Paolo Di Stefano
Affiliation: a Department of Industrial Engineering, Kharazmi University, No.43.South Mofatteh Ave.Tehran, 15719-14911, I.R. Iran. b Department of Industrial and Information Engineering and Economics, University of L’Aquila, Piazzale Pontieri, 1 67040 Monteluco di Roio (AQ), Italy.
Abstract: The problem of matching fragments of 3D objects has gained an increasing attention, and several different approaches have been developed to solve this problem. In this paper, a non-parametric approach is proposed for reconstruction of archaeological pottery fragments based on 2D edge curves. For this purpose, the edge curves are extracted from the fragments’ image, considering the curves as features. Next, the wavelet transformation method is applied to the edge curves, in order to obtain the approximation coefficients. Then, the correlation coefficients between fragments are computed and the matching of fragments is done by comparison the values of correlation coefficients. The proposed approach is tested on some real cases. The results of the experimentations show, if compared with the state of the art, the method is very promising in the reconstruction of pottery from 2D images of their fragments.

Back to TopTop 无码中文有码中文人妻中文,男人的天堂AV国产在线,亚洲色图,国产精品人妻在线观看,国产九九自拍亚洲