Paper
18 August 2005 Optical micro-profilometry for archaeology
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Abstract
A quantitative morphological analysis of archaeological objects represents an important element for historical evaluations, artistic studies and conservation projects. At present, a variety of contact instruments for high-resolution surface survey is available on the market, but because of their invasivity they are not well received in the field of artwork conservation. On the contrary, optical testing techniques have seen a successful growth in last few years due to their effectiveness and safety. In this work we present a few examples of application of high-resolution 3D techniques for the survey of archaeological objects. Measurements were carried out by means of an optical micro-profilometer composed of a commercial conoprobe mounted on a scanning device that allows a maximum sampled area of 280×280 mm2. Measurements as well as roughness calculations were carried out on selected areas, representative of the differently degraded surface, of an ellenestic bronze statue to document the surface corrosion before restoration intervention started. Two highly-corroded ancient coins and a limestone column were surveyed to enhance the relief of inscriptions and drawings for dating purposes. High-resolution 3D survey, beyond the faithful representation of objects, makes it possible to display the surface in an image format that can be processed by means of image processing software. The application of digital filters as well as rendering techniques easies the readability of the smallest details.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pierluigi Carcagni, Claudia Daffara, Raffaella Fontana, Maria Chiara Gambino, Maria Mastroianni, Cinazia Mazzotta, Enrico Pampaloni, and Luca Pezzati "Optical micro-profilometry for archaeology", Proc. SPIE 5857, Optical Methods for Arts and Archaeology, 58570F (18 August 2005); https://doi.org/10.1117/12.612527
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
3D image processing

3D modeling

Photography

Corrosion

Statistical analysis

Surface roughness

3D metrology

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