眼底图像中有效的视神经乳头检测算法
Computationally Efficient Optic Nerve Head Detection in Retinal Fundus Images
摘要：
本文提出了一种计算效率高的方法检测的视神经乳头在彩色眼底和荧光血管造影图像。它涉及一个优化框架内的Radon变换和多重叠窗口的组合，以便在这些图像中存在各种结构，颜色和强度变化的情况下实现鲁棒的检测。三个数据库已被检查，它表明，所介绍的方法提供了高的检测率，同时实现更快的处理速度比现有的算法，具有可比的检测率。
英文摘要：
This paper presents a computationally efficient method for the detection of optic nerve head in both color fundus and fluorescein angiography images. It involves a combination of Radon transformation and multi-overlapping windows within an optimization framework in order to achieve a robust detection in the presence of various structural, color, and intensity variations in such images. Three databases have been examined and it is shown that the introduced method provides high detection rates while achieving faster proceeding rates than the existing algorithms that possess comparable detection rates.
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