Automated crater detection and counting using the hough transform
© 2014 IEEE. A manual process for detecting and counting craters on the surface of a planetary body becomes impractical when attempting to survey a large surface area. Similarly, existing automated methods that are effective for specific areas of focus are also impractical for a large data set. We r...
| Main Authors: | , , , , , |
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| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/6430 |
| _version_ | 1848745073940889600 |
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| author | Galloway, M. Benedix, G. Bland, Phil Paxman, J. Towner, M. Tan, T. |
| author_facet | Galloway, M. Benedix, G. Bland, Phil Paxman, J. Towner, M. Tan, T. |
| author_sort | Galloway, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2014 IEEE. A manual process for detecting and counting craters on the surface of a planetary body becomes impractical when attempting to survey a large surface area. Similarly, existing automated methods that are effective for specific areas of focus are also impractical for a large data set. We report on the work completed so far in developing a crater detection system to automatically detect craters down to sub-km sizes, across a large portion of a planetary surface. Specifically, we assess the performance of a Hough Transform (HT) for the application and in particular the influence of its preprocessing edge detection phase. Tests are performed on high resolution images of the Martian surface, anticipating a large scale crater counting application for crater chronology on the surface of Mars. |
| first_indexed | 2025-11-14T06:11:34Z |
| format | Conference Paper |
| id | curtin-20.500.11937-6430 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:11:34Z |
| publishDate | 2014 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-64302017-09-13T14:41:37Z Automated crater detection and counting using the hough transform Galloway, M. Benedix, G. Bland, Phil Paxman, J. Towner, M. Tan, T. © 2014 IEEE. A manual process for detecting and counting craters on the surface of a planetary body becomes impractical when attempting to survey a large surface area. Similarly, existing automated methods that are effective for specific areas of focus are also impractical for a large data set. We report on the work completed so far in developing a crater detection system to automatically detect craters down to sub-km sizes, across a large portion of a planetary surface. Specifically, we assess the performance of a Hough Transform (HT) for the application and in particular the influence of its preprocessing edge detection phase. Tests are performed on high resolution images of the Martian surface, anticipating a large scale crater counting application for crater chronology on the surface of Mars. 2014 Conference Paper http://hdl.handle.net/20.500.11937/6430 10.1109/ICIP.2014.7025316 Institute of Electrical and Electronics Engineers Inc. restricted |
| spellingShingle | Galloway, M. Benedix, G. Bland, Phil Paxman, J. Towner, M. Tan, T. Automated crater detection and counting using the hough transform |
| title | Automated crater detection and counting using the hough transform |
| title_full | Automated crater detection and counting using the hough transform |
| title_fullStr | Automated crater detection and counting using the hough transform |
| title_full_unstemmed | Automated crater detection and counting using the hough transform |
| title_short | Automated crater detection and counting using the hough transform |
| title_sort | automated crater detection and counting using the hough transform |
| url | http://hdl.handle.net/20.500.11937/6430 |