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Complication Prevention of Posterior Capsular Rupture using Image Processing Techniques

机译：使用图像处理技术并发症预防后囊破裂

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In recent years, biometrics eye detection methods have become popular tools of significance. The exact eye localization technique is important for analysis, and has direct effect in the subsequent steps of normalization, feature extraction and matching. In this paper, after considering merits and demerits of many advanced reported techniques, while keeping in mind, the required fast processing response time of detection to prevent Posterior Capsular Rupture, amalgamates technique has been proposed to obtain a precise, fast and robust method in localizing different segments of the eye, in particular separation of the pupil, iris and sclera. On the contrary to the majority of the current available procedures which make assumptions about circularity or elliptically shape of the iris and pupil, this proposed method aims to capture exact boundaries of these segments while considering minimal detection time. The technique has been intended to be used as part of a complication prevention procedure during eye surgeries. The results of the above studies indicate the effectiveness of the suggested procedure in real time operation.
机译：近年来，生物识别眼睛检测方法已成为流行的重要性工具。精确的眼睛定位技术对于分析很重要，并且在随后的归一化步骤中具有直接影响，特征提取和匹配。在本文中，在考虑到许多先进报告技术的优点和缺点之后，在记住的同时，已经提出了预防后囊破裂的所需的快速处理响应时间，合并技术在本地化中获得精确，快速且鲁棒的方法眼睛不同的细分，特别是瞳孔，虹膜和巩膜的分离。与大多数目前的可用程序相反，这一提出的方法旨在捕获这些细分的概念，同时考虑最小的检测时间。该技术旨在用作眼科手术期间的复杂性预防程序的一部分。上述研究结果表明了实时操作中建议的程序的有效性。

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