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dc.contributor.advisor 문인규 -
dc.contributor.author Seunghyeon Hwang -
dc.date.accessioned 2020-06-22T16:01:29Z -
dc.date.available 2020-06-22T16:01:29Z -
dc.date.issued 2020 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000285033 en_US
dc.identifier.uri http://hdl.handle.net/20.500.11750/11976 -
dc.description Digital holography microscopy, Phase unwrapping, Deep learning, Generative adversarial network. -
dc.description.statementofresponsibility prohibition -
dc.description.tableofcontents Ⅰ. INTRODUCTION 1
1.1 Introduction 1
1.2 Related works 5
Ⅱ. Digital holographic microscopy 6
2.1 Label-free off-axis digital holographic imaging 6
Ⅲ. Method 9
3.1 Generation of dataset 9
3.2 Model Architecture 11
3.3 Objective function 13
3.4 Implementation Details 13
Ⅳ. Results 14
4.1 Experimental results 14
4.2 Performance of model for cells of the same and different type as training data 14
4.3 Performance of wrapped phase images with unfocused cells 15
4.4 Unwrapping time with QG, LS, TIE and the proposed model 17
Ⅴ. DISCUSSION AND CONCLUSION 18
5.1 Conclusion 18
Ⅵ. Acknowledgment 18
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dc.format.extent 32 -
dc.language eng -
dc.publisher DGIST -
dc.title New phase unwrapping approach in digital holographic microscopy with deep learning -
dc.type Thesis -
dc.identifier.doi 10.22677/Theses.200000285033 -
dc.description.degree Master -
dc.contributor.department Robotics Engineering -
dc.contributor.coadvisor Sanghyun Park -
dc.date.awarded 2020-02 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.RM 황57 202002 -
dc.date.accepted 2020-01-20 -
dc.contributor.alternativeDepartment 로봇공학전공 -
dc.embargo.liftdate 2022-03-01 -
dc.contributor.affiliatedAuthor Hwang, Seunghyeon -
dc.contributor.affiliatedAuthor Moon, Inkyu -
dc.contributor.affiliatedAuthor Park, Sanghyun -
dc.contributor.alternativeName 박상현 -
dc.contributor.alternativeName Inkyu Moon -
dc.contributor.alternativeName 황승현 -
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Department of Robotics and Mechatronics Engineering Theses Master

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