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Extraction and Digitization Method of Blood Vessel in Sclera- conjunctiva Image

机译:结膜巩膜图像中血管的提取和数字化方法

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摘要

This paper presents 1) algorithms for blood vessels extraction in sclera-conjunctiva images, which can be applied in syndrome differentiation by observing human eyes (named Ocular Diagnostic in Traditional Chinese Medicine); 2) digitization of extracted vessels. First, sclera-conjunctiva region is isolated by optimal threshold segmentation and mathematical operation ; Scanning and edge detection methods are used to gain the edge of the blood vessels. Moreover, the edge feature parameters are gained, which can be used to reconstruct the blood vessels. Experimental results show that the algorithms can obtain blood vessels information fast and accurately.
机译:本文提出1)巩膜结膜图像中血管提取的算法,可通过观察人眼将其应用于辨证论治(称为中医眼部诊断); 2)提取血管的数字化。首先,通过最佳阈值分割和数学运算来分离巩膜结膜区域。扫描和边缘检测方法用于获取血管边缘。此外,获得边缘特征参数,其可用于重建血管。实验结果表明,该算法可以快速,准确地获取血管信息。

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