基于圆形识别的视网膜图像视盘边缘检测

T. Chaichana, S. Yoowattana, Zhonghua Sun, S. Tangjitkusolmun, S. Sookpotharom, M. Sangworasil
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引用次数: 17

摘要

本文提出了一种新的视网膜图像视盘位置识别方法。该方法是基于对视网膜图像主边缘的初步检测。分割视盘估计为一个圆形区域。我们使用霍夫变换来搜索视盘的区域,霍夫变换检测到几条直线并将它们近似为一条圆线。视盘的位置被确定为圆心。使用DRIVE数据库中的一组40张图像对拟议的手术进行评估,其中包括健康(33张)和患病(7张)受试者的图像。视盘位置在40张图像中的39张中被正确识别,效率为97.5%。结果表明,该方法可用于视网膜图像的病理分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Edge Detection of the Optic Disc in Retinal Images Based on Identification of a Round Shape
This paper presents a novel method for identification of the position of the optic disc in retinal images. The method is based on the preliminary detection of the main edge detection of retinal image. The segmentation optic disc is estimated as a circular area. We searched for areas of optic disc using Hough transform which detected several straight lines and approximated them as a circular line. The position of optic disc was identified as the center of the circle. An evaluation of the proposed procedure was performed using a set of 40 images from the DRIVE database, containing images from both healthy (33) and diseased (7) subjects. The optic disc position was correctly identified in 39 out of 40 images and the efficiency was 97.5 percent. The results illustrate that the proposed method can be used for pathological analysis of retinal images.
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