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Texture Analysis for Stroke Classification in Infrared Reflectogramms

  • Martin Lettner
  • Robert Sablatnig
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

Abstract

The recognition of painted strokes is an important step in analyzing underdrawings in infrared reflectogramms. But even for art experts, it is difficult to recognize all drawing tools and materials used for the creation of the strokes. Thus the use of computer-aided imaging technologies brings a new and objective analysis and assists the art experts. This work proposes a method to recognize strokes drawn by different drawing tools and materials. The method uses texture analysis algorithms performing along the drawing trace to distinguish between different types of strokes. The benefit of this method is the increased content of textural information within the stroke and simultaneously in the border region. We tested our algorithms on a set of six different types of strokes: 3 classes of fluid and 3 classes of dry drawing materials.

Keywords

Textural Feature Texture Analysis Discrete Wavelet Transformation Medial Axis Paint Layer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Martin Lettner
    • 1
  • Robert Sablatnig
    • 1
  1. 1.Institute of Computer Aided Automation, Pattern Recognition and Image Processing GroupVienna University of TechnologyViennaAustria

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