Study of Image Classification Accuracy with Fourier Ptychography
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
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Detail(s)
| Original language | English |
|---|---|
| Article number | 4500 |
| Journal / Publication | Applied Sciences (Switzerland) |
| Volume | 11 |
| Issue number | 10 |
| Online published | 14 May 2021 |
| Publication status | Published - May 2021 |
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| DOI | DOI |
|---|---|
| Attachment(s) | Documents
Publisher's Copyright Statement
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| Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85106575389&origin=recordpage |
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(5bcda17e-4307-4f3e-a9df-1deb8dd48ed6).html |
Abstract
In this research, the accuracy of image classification with Fourier Ptychography Microscopy (FPM) has been systematically investigated. Multiple linear regression shows a strong linear relation-ship between the results of image classification accuracy and image visual appearance quality based on PSNR and SSIM with multiple training datasets including MINST, Fashion MNIST, Cifar, Caltech 101, and customized training datasets. It is, therefore, feasible to predict the image classification accuracy only based on PSNR and SSIM. It is also found that the image classification accuracy of FPM reconstructed with higher resolution images is significantly different from using the lower resolution images under the lower numerical aperture (NA) condition. The difference is yet less pronounced under the higher NA condition.
Research Area(s)
- Deep learning, Fourier ptychography, Image classification, Neural network
Citation Format(s)
Study of Image Classification Accuracy with Fourier Ptychography. / Zhang, Hongbo; Zhang, Yaping; Wang, Lin et al.
In: Applied Sciences (Switzerland), Vol. 11, No. 10, 4500, 05.2021.
In: Applied Sciences (Switzerland), Vol. 11, No. 10, 4500, 05.2021.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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