ECE 4210

Last Updated

  • Schedule of Classes - January 9, 2020 9:13AM EST
  • Course Catalog - January 9, 2020 9:14AM EST

ECE 4210
Art Support Analysis Algorithms

Course information provided by the 2019-2020 Catalog.

The analysis of fine art by art historians involves the close examination of various images of the works of art. The image data available for this course include digitized x-radiographs of paintings by Johannes Vermeer and beta-radiographs of prints by Rembrandt van Rijn. This course will provide a basic description of traditional manual examinations of canvas and paper art supports, such as thread counting and cusping analysis of canvas and watermark identification, chainline spacing, and laid line frequency assessment of antique laid paper. Recently developed tools for automating these tasks based on the two-dimensional Fourier Transform and decision tree building will be employed and assessed in studies in canvas rollmate and laid paper moldmate identification.


Prerequisites/Corequisites Prerequisite: ECE 3250.

When Offered Fall.

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Syllabi: none

  •   Regular Academic Session.  Combined with: ARTH 4991

  • 2 Credits Graded

  • 17264 ECE 4210   LEC 001

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  • Instruction Mode: In Person