Depth from physics: Physics-based image analysis and feature definition

被引:0
|
作者
Hattery, D [1 ]
Loew, M [1 ]
机构
[1] George Washington Univ, Dept Elect Engn & Comp Sci, Inst Med Imaging & Image Anal, Washington, DC 20052 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Blood vessels overlying one another at distinct depths (and hence appearing to intersect) in the conjunctiva of the eye can be distinguished reliably from those that in fact do branch within the same depth, using only the information contained in a single photograph of the conjunctiva. That conclusion arises from extension of earlier work that qualitatively inferred relative depth of vessels. The current research was motivated by the need to quantify such inferences in terms of their sensitivities and robustness. Features extracted from an image are shown to be useful in that effort; their utility is verified with phantoms that mimic the behavior oft he conjunctiva and the backing sclera. Because no special preparations are needed, the method works as well on archived images as on newly-acquired ones, and thus carl be used in retrospective studies of images of the eye and other diffuse media.
引用
收藏
页码:711 / 713
页数:3
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