Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
The development of a predictive autofocus algorithm using a general image formation model
Bibliography: pages 97-99.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2016
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613222264111104 |
|---|---|
| access_status_str | Open Access |
| author | Nicolls, Frederick C |
| author2 | De Jager, Gerhard |
| author_browse | De Jager, Gerhard Nicolls, Frederick C |
| author_facet | De Jager, Gerhard Nicolls, Frederick C |
| author_sort | Nicolls, Frederick C |
| collection | Thesis |
| description | Bibliography: pages 97-99. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/21760 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:42.829Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/21760 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 Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Nicolls, Frederick C The development of a predictive autofocus algorithm using a general image formation model |
| thesis_degree_str | Master's |
| title | 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_short | 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 |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/21760 |
| work_keys_str_mv | AT nicollsfrederickc thedevelopmentofapredictiveautofocusalgorithmusingageneralimageformationmodel AT nicollsfrederickc developmentofapredictiveautofocusalgorithmusingageneralimageformationmodel |