基于图像分解的视网膜血管分割

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Anumeha Varma, Monika Agrawal
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引用次数: 0

摘要

视网膜血管分割在生物医学领域有多种应用。其中包括早期疾病检测、使用视网膜扫描进行生物识别身份验证、分类等。其中许多应用都严重依赖于精确高效的分割技术。在现有的文献中,人们已经做了大量工作来提高分割任务的准确性,但这在很大程度上依赖于可用于训练的数据量以及所捕获图像的质量。另一个差距体现在这些经过大量训练的算法所使用的资源方面。本文旨在通过使用一种资源节约型无监督技术来弥补这些差距,同时利用傅立叶分解法(FDM)和图像信号的 Gabor 变换来提高视网膜血管分割的准确性。所提出的方法在 DRIVE、STARE、CHASE_DB1 和 HRF 数据集上的准确率分别为 97.39%、97.62%、95.34% 和 96.57%。灵敏度分别为 88.36%、88.51%、90.37% 和 79.07%。另有一节详细比较了所提方法与几种著名方法,并分析了所提方法的效率。事实证明,建议的方法在时间和资源需求方面是高效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Image decomposition based segmentation of retinal vessels

Image decomposition based segmentation of retinal vessels

Retinal vessel segmentation has various applications in the biomedical field. This includes early disease detection, biometric authentication using retinal scans, classification and others. Many of these applications rely critically on an accurate and efficient segmentation technique. In the existing literature, a lot of work has been done to improve the accuracy of the segmentation task, but it relies heavily on the amount of data available for training as well as the quality of the images captured. Another gap is observed in terms of the resources used in these heavily trained algorithms. This paper aims to address these gaps by using a resource-efficient unsupervised technique and also increasing the accuracy of retinal vessel segmentation using the Fourier decomposition method (FDM) along with the Gabor transform for image signals. The proposed method has an accuracy of 97.39%, 97.62%, 95.34%, and 96.57% on DRIVE, STARE, CHASE_DB1, and HRF datasets, respectively. The sensitivities were found to be 88.36%, 88.51%, 90.37%, and 79.07%, respectively. A separate section makes a detailed comparison of the proposed method with several well-known methods and an analysis of the efficiency of the proposed method. The proposed method proves to be efficient in terms of time and resource requirements.

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来源期刊
Multimedia Tools and Applications
Multimedia Tools and Applications 工程技术-工程:电子与电气
CiteScore
7.20
自引率
16.70%
发文量
2439
审稿时长
9.2 months
期刊介绍: Multimedia Tools and Applications publishes original research articles on multimedia development and system support tools as well as case studies of multimedia applications. It also features experimental and survey articles. The journal is intended for academics, practitioners, scientists and engineers who are involved in multimedia system research, design and applications. All papers are peer reviewed. Specific areas of interest include: - Multimedia Tools: - Multimedia Applications: - Prototype multimedia systems and platforms
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