Determination of the Optimal Color Space from Eight Types of Color Spaces for Distinguishing Small Retinal Hemorrhages from Dust Artifacts
To determine the optimal color space from eight types of color spaces for distinguishing small retinal hemorrhages from dust artifacts in cases of early diabetic retinopathy. We constructed an experimental device, which comprised an illumination optical system and a photographic optical system separated by a mirror having a hole. This device included a canon EOS 50D camera, an EF 50 mm f/1.8–2 camera lens, a Speedlite 270EX flash, an object lens, four double-convex lenses, three aperture stops, and six artificial eyes. The hemispherical eye ground was made of polythene terephthalate, which was painted with six matt color sprays: red, coffee, ocher, yellow, ivory, and orange. Five fragments of house dust on the object lens and the two lenses were photographed under each artificial eye. The RGB color space, measured by Paint Shop Pro from pictures, was changed into seven types of color spaces: XYZ, CMY, HSL, HSV, HSI, L*a*b*, and L*u*v*. The L*u*v* color space was the optimal one as it demonstrated the highest sensitivity and the best reproducibility. This result demonstrated that this color space could distinguish small hemorrhages from dust artifacts. Next, we analyzed the L*u*v* color space and compared the following three types of house dust positions: “on an object lens,” “on a photographic optical system,” and “on an illumination optical system.” The house dust position “on an object lens” had the highest sensitivity and the best reproducibility. However, the positions “on a photographic optical system” and “on an illumination optical system” had high sensitivity and good reproducibility only under certain conditions. In addition, no differences were found among the six types of fundus colors.
Determination of the Optimal Color Space from Eight Types of Color Spaces for Distinguishing Small Retinal Hemorrhages from Dust Artifacts, International Journal of Biomedical Science and Engineering.
Vol. 1, No. 1,
2013, pp. 10-19.
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