基于形态学重构的彩色眼底图像视盘和视杯分割

H. A. Nugroho, Widhia K.Z. Oktoeberza, Astrid Erasari, Augustine Utami, Cerwyn Cahyono
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引用次数: 8

摘要

青光眼是由视盘、视杯大小改变引起的视网膜异常之一。该疾病通常通过量化垂直杯盘比(CDR)来诊断。因此,本研究提出了两种基于形态学重构的视盘和视杯分割方案。在此过程中考虑视网膜血管切除。在从Drishti-GS数据集中收集的50幅彩色眼底图像上对所提出的方案进行了评估。最后的分割结果与现有的地面真值图像进行比较。视盘分割的准确率、灵敏度和特异性分别达到96.3%、83.12%和99.37%。评价光学杯分割的准确率为99.13%,灵敏度为80.68%,特异性为99.53%。这些在分割视盘和视杯方面的成功结果表明,所提出的方案具有作为计算机青光眼诊断系统发展的一部分实施的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Segmentation of optic disc and optic cup in colour fundus images based on morphological reconstruction
Glaucoma disease is one of the retinal abnormalities caused by size changing of optic disc and optic cup. The disease is commonly diagnosed by quantifying vertical cup-to-disc ratio (CDR). Therefore, this study proposes two schemes for segmenting optic disc and optic cup based on morphological reconstruction. Retinal vessel removal is considered during the process. The proposed schemes are evaluated on 50 colour fundus images collected from Drishti-GS dataset. The final segmentation results are compared to the available ground truth image. Segmentation of optic disc achieves the level of accuracy, sensitivity and specificity at 96.3%, 83.12% and 99.37%, respectively. The evaluation for optic cup segmentation obtains the accuracy of 99.13%, sensitivity of 80.68% and specificity of 99.53%. These successful results in segmenting optic disc and optic cup indicate that the proposed schemes have a potential to be implemented as part of the development of computerised glaucoma diagnosis systems.
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