The development of a predictive autofocus algorithm using a general image formation model
Bibliography: pages 97-99. === This were outlines the development of a general imaging model for use in autofocus, astigmatism correction, and resolution analysis. The model is based on the modulation transfer function of the imaging system in the presence of aberrations, in particular defocus. The...
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ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-217602020-12-10T05:11:07Z The development of a predictive autofocus algorithm using a general image formation model Nicolls, Frederick C De Jager, Gerhard Sewell, Bryan Trevor Electrical Engineering Bibliography: pages 97-99. This were outlines the development of a general imaging model for use in autofocus, astigmatism correction, and resolution analysis. The model is based on the modulation transfer function of the imaging system in the presence of aberrations, in particular defocus. The extension of the model to include astigmatism is also included. The signals used are related to the ratios of the Fourier transforms of images captured under different operating conditions. Methods are developed for working with these signals in a consistent manner. The model described is then applied to the problem of autofocus. A general autofocus algorithm is presented and results given which reflect the predictive properties of this model. The imaging system used for the generation of results was a scanning electron microscope, although the conclusions should be valid across a far wider range of instruments. It is however the specific requirements of the SEM that make the generalisation presented here particularly useful. 2016-09-14T12:56:11Z 2016-09-14T12:56:11Z 1995 Master Thesis Masters MSc (Eng) http://hdl.handle.net/11427/21760 eng application/pdf University of Cape Town Faculty of Engineering and the Built Environment Department of Electrical Engineering |
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English |
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Dissertation |
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Electrical Engineering |
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Electrical Engineering Nicolls, Frederick C The development of a predictive autofocus algorithm using a general image formation model |
description |
Bibliography: pages 97-99. === This were outlines the development of a general imaging model for use in autofocus, astigmatism correction, and resolution analysis. The model is based on the modulation transfer function of the imaging system in the presence of aberrations, in particular defocus. The extension of the model to include astigmatism is also included. The signals used are related to the ratios of the Fourier transforms of images captured under different operating conditions. Methods are developed for working with these signals in a consistent manner. The model described is then applied to the problem of autofocus. A general autofocus algorithm is presented and results given which reflect the predictive properties of this model. The imaging system used for the generation of results was a scanning electron microscope, although the conclusions should be valid across a far wider range of instruments. It is however the specific requirements of the SEM that make the generalisation presented here particularly useful. |
author2 |
De Jager, Gerhard |
author_facet |
De Jager, Gerhard Nicolls, Frederick C |
author |
Nicolls, Frederick C |
author_sort |
Nicolls, Frederick C |
title |
The development of a predictive autofocus algorithm using a general image formation model |
title_short |
The development of a predictive autofocus algorithm using a general image formation model |
title_full |
The development of a predictive autofocus algorithm using a general image formation model |
title_fullStr |
The development of a predictive autofocus algorithm using a general image formation model |
title_full_unstemmed |
The development of a predictive autofocus algorithm using a general image formation model |
title_sort |
development of a predictive autofocus algorithm using a general image formation model |
publisher |
University of Cape Town |
publishDate |
2016 |
url |
http://hdl.handle.net/11427/21760 |
work_keys_str_mv |
AT nicollsfrederickc thedevelopmentofapredictiveautofocusalgorithmusingageneralimageformationmodel AT nicollsfrederickc developmentofapredictiveautofocusalgorithmusingageneralimageformationmodel |
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1719369201854971904 |