Sharpness evaluation algorithm for nailfold microvascular images-Reference-Cited by-同舟云学术

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Sharpness evaluation algorithm for nailfold microvascular images

Published:2023-11-18 Issue: Volume: Page:
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Huang An,Wu Zhiwei,Yin Hao,Ye Qianyao,Liang Junzhao,Lin Jianan,Xie Mugui,Ye Cong,Li Xiaosong,Wu Yanxiong

Funder

2022 Academic Fund of Foshan University

Guangdong Provincal Key Field R&D Plan Project

National Natural Science Foundation of China

Science and Technology Program of Guangdong Province

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-023-02873-9.pdf

Reference25 articles.

1. Tian, J., Xie, Y., Li, M., Oatts, J., Han, Y., Yang, Y., Shi, Y., Sun, Y., Sang, J., Cao, K., Xin, C., Siloka, L., Wang, H., Wang, N.: The relationship between nailfold microcirculation and retinal microcirculation in healthy subjects. Front. Physiol. (2020). https://doi.org/10.3389/fphys.2020.00880

2. Grover, C., Jakhar, D., Mishra, A., Singal, A.: Nail-fold capillaroscopy for the dermatologists. Indian J. Dermatol. Venereol. Leprol. 88(3), 300–312 (2022). https://doi.org/10.25259/ijdvl_514_20

3. Li, Z., Shahbazi, M., Patel, N., O’Sullivan, E., Zhang, H., Vyas, K., Chalasani, P., Deguet, A., Gehlbach, P.L., Iordachita, I., Yang, G.Z., Taylor, R.H.: Hybrid robot-assisted frameworks for endomicroscopy scanning in retinal surgeries. IEEE Trans. Medic. Robot. Bion. 2(2), 176–187 (2022). https://doi.org/10.1109/tmrb.2020.2988312

4. Zhang, Y.P., Liu, L.Y., Gong, W.T., Yu, H.H., Wang, W., Zhao, C.Y., Wang, P., Ueda, T.: Autofocus system and evaluation methodologies: a literature review. Sensors Mater. 30(5), 1165–1174 (2018). https://doi.org/10.18494/sam.2018.1785

5. Ng, K., Neow, P.A., Ang, M.H.: Practical issues in pixel-based autofocusing for machine vision. Proc. IEEE Int. Conf. Robot. Automat. 3, 2791–2796 (2001). https://doi.org/10.1109/ROBOT.2001.933045

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