Toward a multimodal fusion of layered cultural object images: complementarity of optical coherence tomography and terahertz time-domain imaging in the heritage field

Terahertz time-domain imaging (THz-TDI) and spectral-domain optical coherence tomography (SD-OCT) are two techniques capable of providing 3D datasets from which depth profiles and cross-sectional images of an object can be derived. They are novel photonics technologies of particular relevance to the...

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Bibliographic Details
Published in:Applied optics (2004) 2019-02, Vol.58 (5), p.1281
Main Authors: Koch Dandolo, Corinna L, Lopez, Maxime, Fukunaga, Kaori, Ueno, Yoshimi, Pillay, Ruven, Giovannacci, David, Le Du, Yann, Bai, Xueshi, Menu, Michel, Detalle, Vincent
Format: Article
Language:English
Subjects:
Computer vision
Cross-sections
Cultural factors
Cultural heritage
Cultural resources
Data processing
Datasets
Field of view
Image processing
Imaging techniques
Medical imaging
Optical Coherence Tomography
Photonics
Stratigraphy
Time domain analysis
Tomography
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Summary:Terahertz time-domain imaging (THz-TDI) and spectral-domain optical coherence tomography (SD-OCT) are two techniques capable of providing 3D datasets from which depth profiles and cross-sectional images of an object can be derived. They are novel photonics technologies of particular relevance to the field of heritage science, for which the comprehension of the stratigraphic structure of a cultural heritage object may help in the understanding of its artistic technology and state of preservation. The differences in imaging depth, field of view, and axial/lateral resolutions of the two imaging techniques provide different but complementary information of the same scene. Through the use of multimodal image fusion, the user will benefit from access to a detailed comparison of the information content of the two different datasets and images. To carry this out, we have developed a first data processing chain with the aim of representing THz-TDI and SD-OCT cross-sectional images in a unique image grid and space, in which the different datasets are dimensionally consistent.
ISSN:1559-128X
2155-3165
DOI:10.1364/AO.58.001281