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首页> 外文会议>2012 IEEE Student Conference on Research and Development >A simple approach of blood vessels detection in retinal images using MATLAB
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A simple approach of blood vessels detection in retinal images using MATLAB

机译：使用MATLAB的视网膜图像血管检测的简单方法

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摘要

This paper proposed a simple approach of blood vessels detection and extraction in retinal images using MATLAB software. There are 60 retinal image samples from STARE and DRIVE database. The implementation process begins with changing a colour retinal image to grey-scale image followed with enhancement techniques. These enhancement techniques involving opening by reconstruction and top-hat transform to enhance the performance of conventional blood vessels extraction method. The morphology process performed by opening by reconstruction and top-hat transform technique are significant for the next extraction process. The morphology process is followed by local entropy thresholding and filtering process. The extraction process of proposed method took less than 1 minute to extract the blood vessels with an average accuracy and sensitivity of 0.89 and 0.71.
机译：本文提出了一种使用MATLAB软件对视网膜图像中的血管进行检测和提取的简单方法。从STARE和DRIVE数据库中有60个视网膜图像样本。实施过程始于将彩色视网膜图像更改为灰度图像，然后是增强技术。这些增强技术涉及通过重建和高帽转换来打开以增强常规血管提取方法的性能。通过重构和高帽转换技术打开进行的形态学过程对于下一个提取过程具有重要意义。形态学过程之后是局部熵阈值化和滤波过程。所提方法的提取过程用时不到1分钟，提取血管的平均准确度和灵敏度分别为0.89和0.71。

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