• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Symposium on Signal Processing and Information Technology >An automatic system for the detection of optic disc and pathologies in retinal images
【24h】

An automatic system for the detection of optic disc and pathologies in retinal images

机译：一种自动检测视网膜椎间盘和病理的自动系统

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

There are an incredibly large number of undiagnosed Diabetic patients who are unaware of their disease, placing them at a greater risk of Diabetic Retinopathy. As there is no cure or method to prevent it, early detection of symptoms benefits in giving proper treatment. So there is a need for developing a medical system for automatic screening of Diabetic Retinopathy. This paper demonstrates a complete framework for the detection of bright as well as dark lesions in Retinopathy images. The Optic Disc is localized and segmented out from the color fundus images after some pre-processing steps such as filtering and local contrast enhancement. The resulting images are segmented using Fuzzy C-means clustering for the detection of exudates regions. For the detection of hemorrhages, the vascular structure is segmented out from the images following illumination correction. Then the hemorrhages are detected based on background estimation technique. The algorithm was tested and evaluated on two datasets namely DIARETDB0 and MESSIDOR. The proposed methodology illustrated an accuracy percentage of 99.6 for the detection of Optic Disc, 96 for Exudates and 87 for Hemorrhages.
机译：有一种令人难以置信的大量未确诊的糖尿病患者，不知道其疾病，将它们放置在更大的糖尿病视网膜病变风险。由于没有固化或方法来防止它，早期发现症状有利于给予适当的治疗方法。因此，需要开发一种用于自动筛查糖尿病视网膜病变的医疗系统。本文演示了一种完整的框架，用于检测视网膜病图像中的明亮以及暗病变。经过一些预处理步骤，例如滤波和局部对比度增强，光盘是从彩色眼底图像定位和分割的。使用用于检测渗出物区域的模糊C-Means聚类来分割所得到的图像。为了检测出血，血管结构从照明校正后从图像中分段出来。然后基于背景估计技术检测出血液错误。该算法在两个数据集上进行了测试和评估，即DiaRetdB0和Messidor。所提出的方法说明了用于检测光盘，96的精度百分比，96用于出血的渗出物和87。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号