Jamshidi M, Rabbani H, Amini Z, Kafieh R, Ommani A, Lakshminarayanan V
Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84154, Iran.
Department of Advanced Medical Technologies, Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan 81745-313, Iran.
J Med Signals Sens. 2016 Jan-Mar;6(1):57-63.
Localizing the optic disc (OD) in retinal fundus images is of critical importance and many techniques have been developed for OD detection. In this paper, we present the results obtained from two fast methods, correlation and least square, to approximate the location of optic cup. These methods are simple and are not complex, while most of the OD detection algorithms are. The methods were tested on two groups of data (a total of 100 color fundus images) and were 98% successful in the detection of the optic cup. An algorithm using the vessel mask of fundus images is proposed to be run after correlation to ensure that the localization of OD in all images is successful. It was tested on 40 of the test images and had a 100% rate of success.
在视网膜眼底图像中定位视盘（OD）至关重要，并且已经开发了许多用于视盘检测的技术。在本文中，我们展示了通过两种快速方法（相关法和最小二乘法）获得的结果，以近似视杯的位置。这些方法很简单，并不复杂，而大多数视盘检测算法则不然。这些方法在两组数据（总共100张彩色眼底图像）上进行了测试，对视杯的检测成功率为98%。提出了一种在相关法之后运行的使用眼底图像血管掩码的算法，以确保在所有图像中视盘定位都能成功。该算法在40张测试图像上进行了测试，成功率为100%。
