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利用霍夫变换检测视网膜眼底图像中的颞侧弓。

Detection of the temporal arcade in fundus images of the retina using the Hough transform.

作者信息

Oloumi Faraz, Rangayyan Rangaraj M

机构信息

Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive NW, Calgary, Alberta, Canada, T2N 1N4.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:3585-8. doi: 10.1109/IEMBS.2009.5335389.

DOI:10.1109/IEMBS.2009.5335389
PMID:19965233
Abstract

Quantitative analysis of the vascular architecture of the retina can help in monitoring the effects of retinopathy on the visual system. Retinopathy affects the blood vessels in the retina through modification of the shape, width, tortuosity, and the angle of insertion of the temporal arcade. Monitoring the openness of the temporal arcade and changes with treatment can facilitate improved diagnosis and optimized treatment. We propose methods for the detection and parametric modeling of the temporal arcade, including gradient operators and Gabor functions to detect retinal vessels, and the Hough transform to detect parabolic forms. Results obtained with 40 images of the retina indicate accurate to acceptable results for 24 images and partial fits of the parabolic models for 11 images.

摘要

视网膜血管结构的定量分析有助于监测视网膜病变对视觉系统的影响。视网膜病变通过改变颞侧弓形血管的形状、宽度、迂曲度和插入角度来影响视网膜血管。监测颞侧弓形血管的开放程度以及治疗后的变化有助于改善诊断和优化治疗。我们提出了用于检测和参数化建模颞侧弓形血管的方法,包括用于检测视网膜血管的梯度算子和Gabor函数,以及用于检测抛物线形式的霍夫变换。用40张视网膜图像获得的结果表明,24张图像的结果准确到可接受,11张图像的抛物线模型部分拟合。

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引用本文的文献

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Fast Parabola Detection Using Estimation of Distribution Algorithms.基于分布估计算法的快速抛物线检测
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