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首页> 外文会议>2016 International Conference on Microelectronics, Computing and Communications >Detection of Glaucoma using image processing techniques: A review
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Detection of Glaucoma using image processing techniques: A review

机译：使用图像处理技术检测青光眼：综述

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This paper presents a succinct of different types of image processing methods employed for the detection of Glaucoma, most lethal eye disease. Glaucoma affects the optic nerve as a consequence of which loss of ganglia cells in retina of the eye come about and this loss eventually leads to loss of vision. The principal cause of it is increased intraocular pressure which scathes the optic nerve. There are two main types of Glaucoma, open angle and angle closure glaucoma which are responsible for increase in intraocular pressure. In the early stages of glaucoma no perceptible symptoms appears. As the disease progresses, vision starts becomes hazy and afterwards leads to the loss of vision. Therefore, early detection of glaucoma is needed to prevent loss of vision. Manual analysis of ophthalmic images is time consuming and accuracy depends on the expertise of the professionals. Automatic analysis of retinal images is becoming an important tool nowadays. Automation aids in detection, diagnosis and prevention of risks associated with the disease. Fundus images obtained from fundus camera have been used for the analysis. The techniques mentioned in the present review has certain advantages and disadvantages. Based on this study, one can easily determine which technique provides optimum result.
机译：本文简要介绍了用于检测青光眼（最致命的眼部疾病）的不同类型的图像处理方法。青光眼影响视神经，其结果是导致眼睛视网膜中神经节细胞的丧失，这种丧失最终导致视力丧失。造成这种情况的主要原因是眼内压升高，这会伤及视神经。青光眼有两种主要类型，即开角型和闭角型青光眼，它们引起眼内压升高。在青光眼的早期阶段，没有明显的症状出现。随着疾病的进展，视力开始变得朦胧，然后导致视力丧失。因此，需要早期发现青光眼以防止视力下降。人工分析眼科图像非常耗时，准确性取决于专业人员的专业知识。视网膜图像的自动分析已成为当今的重要工具。自动化有助于检测，诊断和预防与疾病相关的风险。从眼底照相机获得的眼底图像已用于分析。本综述中提到的技术具有某些优点和缺点。根据这项研究，可以轻松确定哪种技术可以提供最佳结果。

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