Study of Image Classification Accuracy with Fourier Ptychography

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dc.contributor.authorZhang, Hongboen
dc.contributor.authorZhang, Yapingen
dc.contributor.authorWang, Linen
dc.contributor.authorHu, Zhijuanen
dc.contributor.authorZhou, Wenjingen
dc.contributor.authorTsang, Peter W. M.en
dc.contributor.authorCao, Dengen
dc.contributor.authorPoon, Ting-Chungen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2021-05-25T12:06:55Zen
dc.date.available2021-05-25T12:06:55Zen
dc.date.issued2021-05-14en
dc.date.updated2021-05-24T15:03:59Zen
dc.description.abstractIn this research, the accuracy of image classification with Fourier Ptychography Microscopy (FPM) has been systematically investigated. Multiple linear regression shows a strong linear relationship 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.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationZhang, H.; Zhang, Y.; Wang, L.; Hu, Z.; Zhou, W.; Tsang, P.W.M.; Cao, D.; Poon, T.-C. Study of Image Classification Accuracy with Fourier Ptychography. Appl. Sci. 2021, 11, 4500.en
dc.identifier.doihttps://doi.org/10.3390/app11104500en
dc.identifier.urihttp://hdl.handle.net/10919/103479en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectfourier ptychographyen
dc.subjectimage classificationen
dc.subjectdeep learningen
dc.subjectneural networken
dc.titleStudy of Image Classification Accuracy with Fourier Ptychographyen
dc.title.serialApplied Sciencesen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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