Automated localization of the optic disc and the fovea.

Automated localization of the optic disc and the fovea.
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视盘和中央凹的自动定位。

DOI:
10.1109/iembs.2008.4649969
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发表时间:
2008
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
通讯作者:
vanGinneken,B
vanGinneken,B
中科院分区:
--
文献类型:
--
作者:
Niemeijer,M;Abramoff,MD;vanGinneken,B

文献摘要

相似文献

彩色眼底图像中正常解剖位置的检测是视网膜图像自动分析的重要步骤。介绍了一种自动检测视盘和中心凹位置的系统。该方法综合利用局部血管几何特征和图像强度特征,在图像中找到正确的位置。利用KNN回归器来完成积分。对250张数字彩色眼底照片进行了评价,视盘和中心凹的检测性能分别为99.2%和96.4%。
The detection of the position of the normal anatomy in color fundus photographs is an important step in the automated analysis of retinal images. An automatic system for the detection of the position of the optic disc and the fovea is presented. The method integrates the use of local vessel geometry and image intensity features to find the correct positions in the image. A kNN regressor is used to accomplish the integration. Evaluation was performed on a set of 250 digital color fundus photographs and the detection performance for the optic disc and the fovea were 99.2% and 96.4% respectively.