Paper
4 February 2013 Computer graphics solutions for pottery colors specification
F. Stanco, A. M. Gueli
Author Affiliations +
Proceedings Volume 8660, Digital Photography IX; 86600S (2013) https://doi.org/10.1117/12.2007280
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
Abstract
The objective and repeatable measurement of the color of artifacts is a much needed practice in archeological research. Indeed, in many cases, color information are crucial for the interpretation of cultural products. To avoid the risks of a too subjective autoptic recognition, Munsell system is commonly adopted. This method requires that a human operator matches the perceived color to its standardized version in Munsell Charts. This approach has significant limitations that can mislead archaeologists in their daily work. The alternative would be the use of accurately calibrated sensors in a controlled illumination environment. These commodities are rarely available for most of the “on field” studies. In this paper a simple, economical, based on consumer level electronics and sensors, semi-automatic method of color detection on accurately and precisely selected regions of digital images of ancient pottery is presented. The proposed method indeed uses only the data from a common CCD sensor supported by a simple color measurement pipeline. Our tool is aimed to prevent subjective errors during color identification and to speed up the process of identification itself. The results obtained and percentages of successful matching with human Munsell color identification have statistically shown that our proposal is an interesting starting point to develop a full, cheap, easy to use system that could facilitate some aspects of the archaeologist’s work.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. Stanco and A. M. Gueli "Computer graphics solutions for pottery colors specification", Proc. SPIE 8660, Digital Photography IX, 86600S (4 February 2013); https://doi.org/10.1117/12.2007280
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Cited by 9 scholarly publications.
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KEYWORDS
Colorimetry

Sensors

Visualization

Computer graphics

Digital photography

Cameras

Electronics

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