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A Method for Spatially Registered Microprofilometry Combining Intensity-Height Datasets from Interferometric Sensors
A recognized problem in profilometry applied to artworks is the spatial referencing of the surface topography at micrometer scale due to the lack of references in the height data with respect to the “visually readable” surface. We demonstrate a novel workflow for spatially referenced microprofilomet...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146856/ https://www.ncbi.nlm.nih.gov/pubmed/37112485 http://dx.doi.org/10.3390/s23084144 |
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author | Mazzocato, Sara Daffara, Claudia |
author_facet | Mazzocato, Sara Daffara, Claudia |
author_sort | Mazzocato, Sara |
collection | PubMed |
description | A recognized problem in profilometry applied to artworks is the spatial referencing of the surface topography at micrometer scale due to the lack of references in the height data with respect to the “visually readable” surface. We demonstrate a novel workflow for spatially referenced microprofilometry based on conoscopic holography sensors for scanning in situ heterogeneous artworks. The method combines the raw intensity signal collected by the single-point sensor and the (interferometric) height dataset, which are mutually registered. This dual dataset provides a surface topography registered to the artwork features up to the precision that is given by the acquisition scanning system (mainly, scan step and laser spot). The advantages are: (1) the raw signal map provides additional information about materials texture, e.g., color changes or artist marks, for spatial registration and data fusion tasks; (2) and microtexture information can be reliably processed for precision diagnostic tasks, e.g., surface metrology in specific sub-domains and multi-temporal monitoring. Proof of concept is given with exemplary applications: book heritage, 3D artifacts, surface treatments. The potential of the method is clear for both quantitative surface metrology and qualitative inspection of the morphology, and it is expected to open future applications for microprofilometry in heritage science. |
format | Online Article Text |
id | pubmed-10146856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101468562023-04-29 A Method for Spatially Registered Microprofilometry Combining Intensity-Height Datasets from Interferometric Sensors Mazzocato, Sara Daffara, Claudia Sensors (Basel) Article A recognized problem in profilometry applied to artworks is the spatial referencing of the surface topography at micrometer scale due to the lack of references in the height data with respect to the “visually readable” surface. We demonstrate a novel workflow for spatially referenced microprofilometry based on conoscopic holography sensors for scanning in situ heterogeneous artworks. The method combines the raw intensity signal collected by the single-point sensor and the (interferometric) height dataset, which are mutually registered. This dual dataset provides a surface topography registered to the artwork features up to the precision that is given by the acquisition scanning system (mainly, scan step and laser spot). The advantages are: (1) the raw signal map provides additional information about materials texture, e.g., color changes or artist marks, for spatial registration and data fusion tasks; (2) and microtexture information can be reliably processed for precision diagnostic tasks, e.g., surface metrology in specific sub-domains and multi-temporal monitoring. Proof of concept is given with exemplary applications: book heritage, 3D artifacts, surface treatments. The potential of the method is clear for both quantitative surface metrology and qualitative inspection of the morphology, and it is expected to open future applications for microprofilometry in heritage science. MDPI 2023-04-20 /pmc/articles/PMC10146856/ /pubmed/37112485 http://dx.doi.org/10.3390/s23084144 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mazzocato, Sara Daffara, Claudia A Method for Spatially Registered Microprofilometry Combining Intensity-Height Datasets from Interferometric Sensors |
title | A Method for Spatially Registered Microprofilometry Combining Intensity-Height Datasets from Interferometric Sensors |
title_full | A Method for Spatially Registered Microprofilometry Combining Intensity-Height Datasets from Interferometric Sensors |
title_fullStr | A Method for Spatially Registered Microprofilometry Combining Intensity-Height Datasets from Interferometric Sensors |
title_full_unstemmed | A Method for Spatially Registered Microprofilometry Combining Intensity-Height Datasets from Interferometric Sensors |
title_short | A Method for Spatially Registered Microprofilometry Combining Intensity-Height Datasets from Interferometric Sensors |
title_sort | method for spatially registered microprofilometry combining intensity-height datasets from interferometric sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146856/ https://www.ncbi.nlm.nih.gov/pubmed/37112485 http://dx.doi.org/10.3390/s23084144 |
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