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Since the color gamut of the human tongue images is much narrower, these https wwww correction algorithms need https wwww be adapted and optimized. In the early research, Jang et al. The disadvantage of their approach is which lacks enough objectivity. To compensate for the errors in lighting, camera angle, and color representation in the tongue image acquisition process, the color calibration method uses an embedded color check-board.
The color correction process typically involves deriving a transformation between the device-dependent camera RGB click the following article and device-independent chromatic attributes with the aid of several reference colors, which are often printed and arranged https wwww a checkboard chart named ColorChecker [ https wwww ], [ https wwww ], [ 90 ], [ 91 ]. The ColorChecker is the reference target for training more info correction model, and it plays a crucial role in tongue color correction.
Cai [ 28 ] developed a semi-automatic color calibration tool, the Munsell ColorChecker [ 92 ], which contains 24 scientifically selected color patches, including additive primaries and colors of ordinary natural objects.
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