Multi-Dimensional Analysis of An Oil Painting - PowerPoint PPT Presentation

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Multi-Dimensional Analysis of An Oil Painting

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The halo is not the original halo painted. Conclusion. Research ... 2-D Segmentation provides art conservator's with a tool to validate their discoveries. ... – PowerPoint PPT presentation

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Title: Multi-Dimensional Analysis of An Oil Painting


1
Multi-Dimensional Analysis of An Oil Painting
  • Center of Imaging Science
  • Rochester Institute of Technology
  • Pano Spiliotis
  • May 7,1999

2
Overview
  • Background
  • Procedure
  • Results
  • Evaluation of data
  • Conclusion

3
Background
  • Multi-dimensional segmentation.
  • Using image capturing protocols and
    multi-dimensional segmentation, artifacts that
    are present in works of art will be easily
    identified.
  • New approach in finding artifacts in oil
    paintings.

4
Overview
  • Background
  • Procedure
  • Results
  • Evaluation of data
  • Conclusion

5
Camera Setup
  • Monochrome CCD camera
  • Ultraviolet Black Light (Blue light)
  • Tungsten Light Source
  • Infrared Filter
  • Important that images
  • are in registration.

6
Illumination
  • Three types
  • Ultraviolet
  • Visible
  • Infrared

7
Ultraviolet Illumination
  • Ultraviolet Illumination
  • New Varnish
  • Over-painting

8
Visible Illumination
  • Topographical Inspection
  • Canvas Repair
  • Buckling of Canvas
  • Over-painting

9
Infrared Illumination
  • Infrared filter is presented to the system.
  • Under-drawing
  • Areas that are not present in the UV and VIS.

10
Flat Fielding
  • Procedure taking a non-uniformly illuminated
    image and resulting in an evenly illuminated
    image.

non-uniformly illuminated image
Flat-fielded image
11
Image Segmentation
  • Looking for common areas.
  • Segmentation of a common area.
  • Trial and error.
  • Save common area as an image and pixel value.

12
Overview
  • Background
  • Procedure
  • Results
  • Evaluation of data
  • Conclusion

13
Results
Visible image
Infrared image
Ultraviolet image
14
2-D Segmentation Program
Visible Image
Visible Image
Infrared Image
Infrared Image
15
Pseudo Coloring
Visible Image
Infrared Image
16
After Segmentation
Visible Image
Visible Image
Infrared Image
Infrared Image
17
Overview
  • Background
  • Procedure
  • Results
  • Evaluation of data
  • Conclusion

18
Evaluation of results
  • Areas that have been segmented reveal artifacts.
  • John Sutton, Associate Conservator from The West
    Lake Conservators, was called in to prove these
    findings.
  • The halo is not the original halo painted.

19
Conclusion
  • Research proved to be successful.
  • 2-D Segmentation provides art conservators with
    a tool to validate their discoveries.
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