An Improved Retinal Blood Vessel Segmentation Algorithm based on Multistructure Elements Morphology
An Improved Retinal Blood Vessel Segmentation Algorithm based on Multistructure Elements Morphology
复制标题
一种改进的基于多结构元素形态学的视网膜血管分割算法
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
R. Roy
中科院分区：
文献类型：
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作者：
Sifna N. Shajahan;R. Roy
视网膜是许多重要的眼部疾病和全身性疾病的表现部位。通过评估视网膜血管，医生可以诊断糖尿病视网膜病变、年龄相关性黄斑变性、青光眼等的初级阶段，这些疾病最终可能导致失明。目标是开发一种能够在短时间内高精度分割视网膜血管的算法。但图像的低灰度对比度和动态范围使得血管分割过程非常困难。一种新的多尺度变换，Curvelet 变换，用于视网膜图像对比度增强。由于血管分布在各个方向，因此使用多结构元素形态学来查找血管边缘。通过形态重建去除假边缘。局部应用的水平相关阈值算法具有连通分量分析和长度过滤功能，可在重建步骤后消除剩余的假边缘。该算法在 DRIVE 数据库的图像上进行实验应用时，在不到 15 秒的时间内给出了超过 97% 的准确率，从而显示了其在视网膜血管分割中的有效性。一般术语图像处理、医学应用、视网膜图像分析、算法。
Retina is the portion where many important eye diseases and systemic diseases manifest. By evaluating the retinal blood vessels, doctors can diagnose the primary stages of diabetic retinopathy, age related macular degeneration, glaucoma etc which may eventually lead to blindness. The objective is to develop an algorithm that segments the retinal blood vessels in a short time and with high accuracy. But the low gray level contrast and dynamic range of the image make the blood vessel segmentation process very difficult. A new multiscale transform, Curvelet transform, is used for retinal image contrast enhancement. Since the blood vessels are distributed in various directions multistructure elements morphology is used to find the blood vessel edges. The false edges are removed by morphological reconstruction. A locally applied level dependent thresholding algorithm with connected component analysis and length filtering removes the remaining false edges after reconstruction step. The proposed algorithm, when experimentally applied on images from the DRIVE database, gave an accuracy of more than 97% in less than 15 s, thus showing its effectiveness in retinal blood vessel segmentation. General Terms Image processing, Medical application, Retinal image analysis, Algorithms.