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Publication no. C-2003-0415-02R
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ARTICLE
Color Calibration of Scanners for Scanner-Independent Grain Grading (1).
Muhammad A. Shahin (2) and Stephen J. Symons (2,3). (1) Paper 843 of the
Grain Research Laboratory, Canadian Grain Commission, 1404-303 Main Street,
Winnipeg, Manitoba Canada, R3C 3G8. (2) Canadian Grain Commission, Grain
Research Laboratory, Winnipeg, Manitoba, Canada. (3) Corresponding author.
E-mail: <ssymons@grainscanada.gc.ca> Cereal Chem. 80(3):285-289. Accepted
November 18, 2002. This article is
in the public domain and not copyrightable. It may be freely reprinted with
customary crediting of the source. American Association of Cereal Chemists,
Inc., 2003.
Scanner technology is emerging as a cost-effective and robust imaging
alternative to camera-based systems in many applications. However, scanner
technology is changing so fast that image quality can vary from model to model.
It is critical that images scanned with different scanners be brought to a
common basis for processing and measurement through a calibration process that
eliminates scanner-to-scanner variability. The focus of this research was to
investigate scanner-to-scanner variability and develop color correction or
mapping functions to allow for machine-independent grain inspection. Various
makes and models of scanners were compared for optical and color
characteristics. Three different color correction methods were evaluated:
grayscale (GS) transformation, red-green-blue (RGB) transformation, and
histogram matching. All three models of color correction worked within
satisfactory tolerance for a multicolor Q60 chart. However, for grain samples of
a limited color range, the histogram matching approach performed better than GS
and RGB transformations for scanner calibration. The color-corrected test images
matched the reference images within 3 grey values. Differences between the three
models of color correction are discussed.
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