Texture analysis for stroke classification in infrared reflectogramms

Authors:
Martin Lettner;Robert Sablatnig
Affiliations:
Institute of Computer Aided Automation, Pattern Recognition and Image Processing Group, Vienna University of Technology, Vienna, Austria;Institute of Computer Aided Automation, Pattern Recognition and Image Processing Group, Vienna University of Technology, Vienna, Austria
Venue:
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Year:
2005

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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.