Advanced Imaging Techniques: Difference between revisions

From The Digital Classicist Wiki
Jump to navigation Jump to search
(expand on XRF)
(Add references)
 
(16 intermediate revisions by 3 users not shown)
Line 2: Line 2:
* Please add information, links to discussions of further information, or headings you would like to see populated
* Please add information, links to discussions of further information, or headings you would like to see populated


=3D Surface Scanning=
==3D Surface Scanning==


==Laser Scanning==
===Laser Scanning===


(tba)
3D laser scanning can be achieved via a variety of techniques:
* Laser triangulation (a known laser pattern from a known position relative to a sensor is beamed onto a surface and the resulting distortion is triangulated to calculate depth)
* Time-of-flight (a laser is pulsed and the time it takes to return is used to calculate depth)
See: http://en.wikipedia.org/wiki/3D_scanner#Non-contact_active


(See also [http://www.digitalclassicist.org/wip/wip2008-07rb.html DC 2008 Paper by Ryan Baumann].)
(See also [http://www.digitalclassicist.org/wip/wip2008-07rb.html DC 2008 Paper by Ryan Baumann].)


==Photogrammetry==
===Structured Light===
 
See: https://en.wikipedia.org/wiki/Structured-light_3D_scanner
 
===Photogrammetry===


(tba)
Photogrammetry encompasses a number of different techniques which reconstruct 3D information from 2D photographs.
 
* See: http://en.wikipedia.org/wiki/Photogrammetry
* See also SunoikisisDC photogrammetry training:
** [https://github.com/SunoikisisDC/SunoikisisDC-2016/wiki/3D-Imaging,-Scanning,-Printing-%28March-16%29 March 2016: 3D imaging, scanning and printing]
** [https://github.com/SunoikisisDC/SunoikisisDC-2017-2018/wiki/3D-scanning-and-imaging November 2017: 3D scanning and imagng]
** [https://github.com/SunoikisisDC/SunoikisisDC-2018-2019/wiki/Session-3.-3D-imaging-and-printing:-documenting-and-reproducing-cultural-heritage-artefacts October 2018: 3D imaging and printing]
** [https://github.com/SunoikisisDC/SunoikisisDC-2019-2020/wiki/DCH-Session-2-3D-Imaging October 2019: 3D imaging and photogrammetry]
** [https://github.com/SunoikisisDC/SunoikisisDC-2020-2021/wiki/CH1-3D-Imaging Jan 2021: 3D imaging and photogrammetry]
** [https://github.com/SunoikisisDC/SunoikisisDC-2020-2021/wiki/CH7-Publishing-3D Mar 2021:Publishing 3D models and intellectual property]
** [https://github.com/SunoikisisDC/SunoikisisDC-2020-2021/wiki/SunoikisisDC-Summer-2021-Session-14 July 2021: Beyond Classics: The Book of the Dead in 3D]
==3D Volumetric Scanning==
 
===CT Scanning===
 
CT scanning involves computing a 3D model from a number of X-ray projections taken around an object. Due to the nature of this technique, contrasts in a typical CT scan will correspond to contrasts in the material's X-ray absorption properties. See: http://en.wikipedia.org/wiki/Computed_tomography
 
===MRI Scanning===


=3D Volumetric Scanning=
MRI relies on the principal of introducing and imaging magnetic spin of specific isotopes, particularly Hydrogen. Due to the properties of MRI, this is typically most suitable for liquids ("solution-state") and MRI of solid materials is relatively difficult (though higher fields and short T2 times[http://linkinghub.elsevier.com/retrieve/pii/S0730725X07002299], as well as developing techniques such as [http://linkinghub.elsevier.com/retrieve/pii/S0730725X05000494 MAFS]/[http://ieeexplore.ieee.org/iel5/77/4538104/04523022.pdf?arnumber=4523022 MARF] may enable non-destructive MRI of solid materials). As a result, it is highly suitable to certain applications (i.e. medical imaging, due to the prevalence of water in the human body) but its application to imaging of archaeological artifacts is sparse. A non-metallic object could in theory be imaged with MRI by immersing it in water before imaging to obtain a negative image of water permeation, but this is unlikely to be suitable for cultural artifacts.


==CT Scanning==
===Optical Coherence Tomography===


(tba)
(tba)


==MRI Scanning==
==Advanced 2D Imaging==
 
===Polynomial Texture Mapping===


MRI relies on the principal of introducing and imaging magnetic spin of specific isotopes, particularly Hydrogen. Due to the properties of MRI, this is typically most suitable for liquids ("solution-state") and MRI of solid materials is relatively difficult (though higher fields and short T2 times[http://linkinghub.elsevier.com/retrieve/pii/S0730725X07002299], as well as developing techniques such as [http://linkinghub.elsevier.com/retrieve/pii/S0730725X05000494 MAFS]/[http://ieeexplore.ieee.org/iel5/77/4538104/04523022.pdf?arnumber=4523022 MARF] may enable non-destructive MRI of solid materials). As a result, it is highly suitable to certain applications (i.e. medical imaging, due to the prevalence of water in the human body) but its application to imaging of archaeological artifacts is sparse. A non-metallic object could in theory be imaged with MRI by immersing it in water before imaging to obtain a negative image of water permeation, but this is unlikely to be suitable for cultural artifacts.
Polynomial Texture Mapping (PTM) or [[Reflectance Transformation Imaging]] (RTI) involves taking multiple images of an object under different lighting conditions, e.g. multiple raking light positions. These are then combined and stored in a single image such that the light can be manipulated while viewing, or processing can be applied to bring out details. Its combination of low cost, high resolution, ease of use, high portability, and ability to capture fine incisions in surfaces has led to it being used for imaging a number of cultural heritage artifacts, including the [[Antikythera Mechanism]]. See: http://en.wikipedia.org/wiki/Polynomial_texture_mapping


=Advanced 2D Techniques=
See [https://groups.google.com/d/msg/rti_help/gaIuHdHMOmM/SYWfPgMOc34J this post to the RTI_Help mailing list] for an explanation of the history of the terms "PTM" and "RTI".


==Polynomial Texture Mapping==
===Multispectral/Hyperspectral Imaging===


(tba)
Multispectral/hyperspectral imaging involves capturing a material's spectral reflectance across a wider/finer range of the electromagnetic spectrum than a typical RGB image. This information can be used to more accurately reproduce color (avoiding metameric failures), distinguish between or classify inks, or be fed to image processing algorithms for visualization. See: http://en.wikipedia.org/wiki/Multispectral_image


==X-ray Fluorescence==
===X-ray Fluorescence===


X-ray fluorescence (XRF) is a spectroscopy technique wherein an object is exposed to high-energy X-rays and imaged for characteristic fluorescence of specific elements. Researchers at Cornell have used XRF to reveal trace elements left in incised text by painting, environmental exposure, or chisel work:
X-ray fluorescence (XRF) is a spectroscopy technique wherein an object is exposed to high-energy X-rays and imaged for characteristic fluorescence of specific elements.


Researchers at Cornell have used XRF to reveal trace elements left in incised text by painting, environmental exposure, or chisel work:
* [http://www.news.cornell.edu/stories/Aug05/XRF.imaging.stones.fac.html "Scientists and humanists join forces to use X-ray technology to shed new light on ancient stone inscriptions"], Cornell Chronicle
* [http://www.news.cornell.edu/stories/Aug05/XRF.imaging.stones.fac.html "Scientists and humanists join forces to use X-ray technology to shed new light on ancient stone inscriptions"], Cornell Chronicle
* J. Powers, N. Dimitrova, R. Huang, D.-M. Smilgies, D. H. Bilderback, K. Clinton and R. E. Thorne: [http://staff.chess.cornell.edu/~smilgies/refs/Inscriptions.pdf "X-ray fluorescence recovers writing from ancient inscriptions"], Zeitschrift für Papyrologie und Epigraphik (Bonn, Germany) 152, 221-227 (2005).
* J. Powers, N. Dimitrova, R. Huang, D.-M. Smilgies, D. H. Bilderback, K. Clinton and R. E. Thorne: [http://staff.chess.cornell.edu/~smilgies/refs/Inscriptions.pdf "X-ray fluorescence recovers writing from ancient inscriptions"], Zeitschrift für Papyrologie und Epigraphik (Bonn, Germany) 152, 221-227 (2005).
* J. Powers, N. Dimitrova, R. Huang, D.-M. Smilgies, D. H. Bilderback, K. Clinton and R. E. Thorne: [http://staff.chess.cornell.edu/~smilgies/refs/CHESS-Newsletter05-Inscriptions.pdf "Recovering Ancient Inscriptions by X-ray Fluorescence"], Research Highlight, CHESS News Magazine 2005, p. 60-63.
* J. Powers, N. Dimitrova, R. Huang, D.-M. Smilgies, D. H. Bilderback, K. Clinton and R. E. Thorne: [http://staff.chess.cornell.edu/~smilgies/refs/CHESS-Newsletter05-Inscriptions.pdf "Recovering Ancient Inscriptions by X-ray Fluorescence"], Research Highlight, CHESS News Magazine 2005, p. 60-63.
* Journal of Archaeological Science (forthcoming)
* J. Powers, et al.: [http://www.sciencedirect.com/science/article/pii/S0305440308002185 "X-ray fluorescence imaging analysis of inscription provenance"], Journal of Archaeological Science, Vol. 36, Issue 2, 343-350 (2009).
 
[[category:FAQ]]
[[category:FAQ]]
[[category:Tools]]
[[category:Tools]]
[[category:Images]]
[[category:Visualisation]]

Latest revision as of 11:23, 12 August 2021

  • Page under construction: current content is likely to focus on techniques of use for the scanning of inscribed surfaces
  • Please add information, links to discussions of further information, or headings you would like to see populated

3D Surface Scanning

Laser Scanning

3D laser scanning can be achieved via a variety of techniques:

  • Laser triangulation (a known laser pattern from a known position relative to a sensor is beamed onto a surface and the resulting distortion is triangulated to calculate depth)
  • Time-of-flight (a laser is pulsed and the time it takes to return is used to calculate depth)

See: http://en.wikipedia.org/wiki/3D_scanner#Non-contact_active

(See also DC 2008 Paper by Ryan Baumann.)

Structured Light

See: https://en.wikipedia.org/wiki/Structured-light_3D_scanner

Photogrammetry

Photogrammetry encompasses a number of different techniques which reconstruct 3D information from 2D photographs.

3D Volumetric Scanning

CT Scanning

CT scanning involves computing a 3D model from a number of X-ray projections taken around an object. Due to the nature of this technique, contrasts in a typical CT scan will correspond to contrasts in the material's X-ray absorption properties. See: http://en.wikipedia.org/wiki/Computed_tomography

MRI Scanning

MRI relies on the principal of introducing and imaging magnetic spin of specific isotopes, particularly Hydrogen. Due to the properties of MRI, this is typically most suitable for liquids ("solution-state") and MRI of solid materials is relatively difficult (though higher fields and short T2 times[1], as well as developing techniques such as MAFS/MARF may enable non-destructive MRI of solid materials). As a result, it is highly suitable to certain applications (i.e. medical imaging, due to the prevalence of water in the human body) but its application to imaging of archaeological artifacts is sparse. A non-metallic object could in theory be imaged with MRI by immersing it in water before imaging to obtain a negative image of water permeation, but this is unlikely to be suitable for cultural artifacts.

Optical Coherence Tomography

(tba)

Advanced 2D Imaging

Polynomial Texture Mapping

Polynomial Texture Mapping (PTM) or Reflectance Transformation Imaging (RTI) involves taking multiple images of an object under different lighting conditions, e.g. multiple raking light positions. These are then combined and stored in a single image such that the light can be manipulated while viewing, or processing can be applied to bring out details. Its combination of low cost, high resolution, ease of use, high portability, and ability to capture fine incisions in surfaces has led to it being used for imaging a number of cultural heritage artifacts, including the Antikythera Mechanism. See: http://en.wikipedia.org/wiki/Polynomial_texture_mapping

See this post to the RTI_Help mailing list for an explanation of the history of the terms "PTM" and "RTI".

Multispectral/Hyperspectral Imaging

Multispectral/hyperspectral imaging involves capturing a material's spectral reflectance across a wider/finer range of the electromagnetic spectrum than a typical RGB image. This information can be used to more accurately reproduce color (avoiding metameric failures), distinguish between or classify inks, or be fed to image processing algorithms for visualization. See: http://en.wikipedia.org/wiki/Multispectral_image

X-ray Fluorescence

X-ray fluorescence (XRF) is a spectroscopy technique wherein an object is exposed to high-energy X-rays and imaged for characteristic fluorescence of specific elements.

Researchers at Cornell have used XRF to reveal trace elements left in incised text by painting, environmental exposure, or chisel work: