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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Ranking of color space components for detection of blood vessels in eye fundus images
verfasst von : Martynas Patasius, V. Marozas, D. Jegelevicius, A. Lukoševičius
Erschienen in: 4th European Conference of the International Federation for Medical and Biological Engineering
Verlag: Springer Berlin Heidelberg
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Most of the studies so far used the green component of RGB for blood vessel recognition in eye fundus images with some using luminance. However, no study was performed to justify in quantitative manner these choices. We aimed to investigate which color spaces (RGB, YIQ, HSV, HSL, XYZ’) can emphasize vasculature and vascular reflex in order to enable the usage of computationally and conceptionally simpler blood vessel detection methods.
The obtained results confirm the usefulness of green color selection in blood vessel detection task, although the hue component of HSV and difference G-B should also be considered. The S component of HSV seems to be useful for reflex detection.