视网膜图像视盘定位的新方法

Manish Kumar Aggarwal, V. Khare
{"title":"视网膜图像视盘定位的新方法","authors":"Manish Kumar Aggarwal, V. Khare","doi":"10.1109/IC3.2016.7880263","DOIUrl":null,"url":null,"abstract":"In this paper, a new method for localizing optic disc (OD) in retinal images has been proposed. Optic disc is an anatomical feature of retinal image which is considered as a first step for blood vessel segmentation and behaves as a land mark for retinal disease identification. Optic disc is a bright portion of retinal image and share similar properties with early pathology like exudates of Diabetic retinopathy disease. Thus, it is difficult to locate in retinal image due to the presence of similar pathology and non-uniform illumination in retinal image. In proposed approach pixel intensity is used as primary component and only bright pixel are considered for optic disc detection. Secondly, we have assumed that OD is a unique region in the retinal image having blood vessels converges on it. Therefore the optic disc can be localized by correlating every pixel value in the test image with a similar template having an OD at the centre. Finally a blood vessel map is extracted using large window sized median filter. The location of optic disc obtained is verified by the presence of blood vessel pixels in 10×10 window of the optic disc. The result of the proposed method is verified on two standard publicly available DRIVE [13] and DIARETDB1 [15] datasets comprises of 129 images, out of which optic disc in 126 retinal images is detected accurately.","PeriodicalId":294210,"journal":{"name":"2016 Ninth International Conference on Contemporary Computing (IC3)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A new method for optic disc localization in retinal images\",\"authors\":\"Manish Kumar Aggarwal, V. Khare\",\"doi\":\"10.1109/IC3.2016.7880263\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new method for localizing optic disc (OD) in retinal images has been proposed. Optic disc is an anatomical feature of retinal image which is considered as a first step for blood vessel segmentation and behaves as a land mark for retinal disease identification. Optic disc is a bright portion of retinal image and share similar properties with early pathology like exudates of Diabetic retinopathy disease. Thus, it is difficult to locate in retinal image due to the presence of similar pathology and non-uniform illumination in retinal image. In proposed approach pixel intensity is used as primary component and only bright pixel are considered for optic disc detection. Secondly, we have assumed that OD is a unique region in the retinal image having blood vessels converges on it. Therefore the optic disc can be localized by correlating every pixel value in the test image with a similar template having an OD at the centre. Finally a blood vessel map is extracted using large window sized median filter. The location of optic disc obtained is verified by the presence of blood vessel pixels in 10×10 window of the optic disc. The result of the proposed method is verified on two standard publicly available DRIVE [13] and DIARETDB1 [15] datasets comprises of 129 images, out of which optic disc in 126 retinal images is detected accurately.\",\"PeriodicalId\":294210,\"journal\":{\"name\":\"2016 Ninth International Conference on Contemporary Computing (IC3)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Ninth International Conference on Contemporary Computing (IC3)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3.2016.7880263\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Ninth International Conference on Contemporary Computing (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2016.7880263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本文提出了一种新的视网膜图像视盘定位方法。视盘是视网膜图像的解剖特征,是血管分割的第一步,是视网膜疾病识别的标志。视盘是视网膜图像的明亮部分,与早期病变如糖尿病视网膜病变的渗出物具有相似的特征。因此,由于视网膜图像中存在相似的病理和不均匀的光照,难以在视网膜图像中定位。该方法以像素强度为主要分量,只考虑明亮像素进行视盘检测。其次,我们假设OD是视网膜图像中有血管聚集的唯一区域。因此,视盘可以通过将测试图像中的每个像素值与具有中心外径的类似模板相关联来定位。最后利用大窗口大小的中值滤波器提取血管图。通过视盘10×10窗口中血管像素的存在来验证视盘的位置。在两个公开的标准DRIVE[13]和DIARETDB1[15]数据集上验证了所提出方法的结果,该数据集包含129张图像,其中126张视网膜图像中的视盘被准确检测出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new method for optic disc localization in retinal images
In this paper, a new method for localizing optic disc (OD) in retinal images has been proposed. Optic disc is an anatomical feature of retinal image which is considered as a first step for blood vessel segmentation and behaves as a land mark for retinal disease identification. Optic disc is a bright portion of retinal image and share similar properties with early pathology like exudates of Diabetic retinopathy disease. Thus, it is difficult to locate in retinal image due to the presence of similar pathology and non-uniform illumination in retinal image. In proposed approach pixel intensity is used as primary component and only bright pixel are considered for optic disc detection. Secondly, we have assumed that OD is a unique region in the retinal image having blood vessels converges on it. Therefore the optic disc can be localized by correlating every pixel value in the test image with a similar template having an OD at the centre. Finally a blood vessel map is extracted using large window sized median filter. The location of optic disc obtained is verified by the presence of blood vessel pixels in 10×10 window of the optic disc. The result of the proposed method is verified on two standard publicly available DRIVE [13] and DIARETDB1 [15] datasets comprises of 129 images, out of which optic disc in 126 retinal images is detected accurately.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信