Smartphone-based Approach for Automatic Focus Assessment in NIR Fundus Images Targeted at Handheld Devices

Tudor-Ionut Nedelcu, Francisco Veiga, Miguel Santos, Marcos Liberal, Filipe Soares

Abstract

Mobile fundus imaging devices can play an important role in the decentralization of eye diseases screening methods, increasing the accessibility of telemedicine solutions in this area. Since image focusing is crucial to obtain an optimal retinal image, this work presents a smartphone-based approach for automatic focus assessment of NIR retinal images, acquired by a prototype of a handheld fundus camera device called EyeFundusScope (EFS) A009. A DCT-based focus metric is proposed and compared against a group of Gradient-based, Statistical-based, and Laplacian-based functions in the same experimental setup. The paper also presents the EFS image acquisition logic and the protocol for creating the necessary NIR dataset with the optic disc region around the centre of the image. The results were obtained within 853 images acquired from 8 volunteers. The developed method combined with other features, and a SVM classifier in a Machine Learning approach which attained an AUC of 0.80, has shown to be a viable solution to integrate into the EFS mobile application.

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Paper Citation


in Harvard Style

Nedelcu T., Veiga F., Santos M., Liberal M. and Soares F. (2021). Smartphone-based Approach for Automatic Focus Assessment in NIR Fundus Images Targeted at Handheld Devices.In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING, ISBN 978-989-758-490-9, pages 73-81. DOI: 10.5220/0010325100730081


in Bibtex Style

@conference{bioimaging21,
author={Tudor-Ionut Nedelcu and Francisco Veiga and Miguel Santos and Marcos Liberal and Filipe Soares},
title={Smartphone-based Approach for Automatic Focus Assessment in NIR Fundus Images Targeted at Handheld Devices},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING,},
year={2021},
pages={73-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010325100730081},
isbn={978-989-758-490-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING,
TI - Smartphone-based Approach for Automatic Focus Assessment in NIR Fundus Images Targeted at Handheld Devices
SN - 978-989-758-490-9
AU - Nedelcu T.
AU - Veiga F.
AU - Santos M.
AU - Liberal M.
AU - Soares F.
PY - 2021
SP - 73
EP - 81
DO - 10.5220/0010325100730081