Abstract
The skin color of the human face is mainly determined by the content of hemoglobin (in red) and melanin (in brown). RBX image technology transforms full-color images into RBX color space, in which the "Red" component is associated with hemoglobin, and the "Brown" component is associated with melanin. This article presents a skin condition evaluation system based on RBX image technology, which is practically applied to the identification of the severity of rosacea patients, as well as the whiteness of the skin of the patient receiving pulse laser toning. In the research of rosacea grading, we analyze the "Red" component image and establish the R-G index to grade the severity of rosacea. It was found that the value of the R-G index increased with the severity of rosacea. ANOVA test results show significant differences among the four severity groups. In the research on the effect of facial skin toning by pulsed laser, we analyzed the "Brown" component image and established five brightness levels as indicators to evaluate the skin whitening effect. The result shows that the ups and downs of these brightness levels reflect changes in skin tone. These indicators provide a new way for quantification of skin conditions.
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More From: International Journal of Clinical Medicine and Bioengineering
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