用于自动捕获扩展视网膜图像的设备

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-05-11 DOI:10.1016/j.measurement.2025.117824

Petr Malaník , Martin Drahanský , Jan Kubíček , Tomáš Mňuk , Matylda Musilová , Jitka Mohelníková

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引用次数: 0

摘要

设计并制造了一种新的全自动眼底相机，用于监测人类视网膜。配备了一个额外的照明系统，相机捕捉视盘和中央凹的正面图像。该设备还能够将光学系统向不同方向倾斜，使其能够捕获视网膜不同区域的多个图像。将这些图像拼接在一起后，得到的图像覆盖的面积比传统的正面成像大得多。该设备适用于医学和生物识别应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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EYRINA: A device for automatic capture of extended retinal images

A new fully automatic fundus camera has been designed and constructed to monitor the human retina. Equipped with an additional illumination system, the camera captures frontal images of the optic disc and fovea. The device is also capable of tilting the optical system in various directions, enabling it to capture multiple images of different regions of the retina. After stitching these images together, the resulting image covers a significantly larger area compared to traditional frontal imaging. This device is suitable for both medical and biometric applications.

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.