Ranking of color space components for detection of blood vessels in eye fundus images

被引：0
|
作者：
Patasius, M. [1 ]
Marozas, V. [1 ]
Jegelevicius, D. [1 ]
Lukosevicius, A. [1 ]
机构：
[1] Kaunas Univ Technol, Inst Biomed Engn, Kaunas, Lithuania
来源：
4TH EUROPEAN CONFERENCE OF THE INTERNATIONAL FEDERATION FOR MEDICAL AND BIOLOGICAL ENGINEERING | 2009年 / 22卷 / 1-3期
关键词：
Eye fundus images; color space; blood vessels;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
引用
收藏
页码：464 / 467
页数：4
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