Mobile Vision-based Automatic Counting of Bacteria Colonies
The procedure for counting colonies is often performed manually and the process is lengthy and tedious. For that reason, several methods that rely on digital images for automatically counting cells and bacteria colonies have been proposed. Fully automated and high throughput hardware imaging in...
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017
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| Online Access: | http://ir.unimas.my/id/eprint/16656/ http://ir.unimas.my/id/eprint/16656/1/Mobile%20Vision-based%20Automatic%20Counting%20%28abstract%29.pdf |
| _version_ | 1848838108775186432 |
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| author | Jacey-Lynn, Minoi Tin, Tze Chiang Terrin, Lim |
| author_facet | Jacey-Lynn, Minoi Tin, Tze Chiang Terrin, Lim |
| author_sort | Jacey-Lynn, Minoi |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | The procedure for counting colonies is often
performed manually and the process is lengthy and tedious.
For that reason, several methods that rely on digital images for
automatically counting cells and bacteria colonies have been
proposed. Fully automated and high throughput hardware
imaging instruments are also available, but such machines are
extremely costly. In this paper, we introduce a mobile based
computer vision algorithm for automatic bacteria colony
counting using morphological operations and transforms in
image processing, on a custom Android mobile cross-platform
open source software and written in Java, C++ and Open CV
computer vision library. The results have shown are promising
given that the acquisition and detection were done in a noncontrolled
environment. |
| first_indexed | 2025-11-15T06:50:19Z |
| format | Article |
| id | unimas-16656 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:50:19Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-166562024-01-09T03:41:39Z http://ir.unimas.my/id/eprint/16656/ Mobile Vision-based Automatic Counting of Bacteria Colonies Jacey-Lynn, Minoi Tin, Tze Chiang Terrin, Lim T Technology (General) The procedure for counting colonies is often performed manually and the process is lengthy and tedious. For that reason, several methods that rely on digital images for automatically counting cells and bacteria colonies have been proposed. Fully automated and high throughput hardware imaging instruments are also available, but such machines are extremely costly. In this paper, we introduce a mobile based computer vision algorithm for automatic bacteria colony counting using morphological operations and transforms in image processing, on a custom Android mobile cross-platform open source software and written in Java, C++ and Open CV computer vision library. The results have shown are promising given that the acquisition and detection were done in a noncontrolled environment. IEEE 2017 Article PeerReviewed text en http://ir.unimas.my/id/eprint/16656/1/Mobile%20Vision-based%20Automatic%20Counting%20%28abstract%29.pdf Jacey-Lynn, Minoi and Tin, Tze Chiang and Terrin, Lim (2017) Mobile Vision-based Automatic Counting of Bacteria Colonies. International Conference on Information and Communication Technology (ICICTM). ISSN ISBN: 978-1-5090-0412-6 http://ieeexplore.ieee.org/document/7890774/ DOI: 10.1109/ICICTM.2016.7890774 |
| spellingShingle | T Technology (General) Jacey-Lynn, Minoi Tin, Tze Chiang Terrin, Lim Mobile Vision-based Automatic Counting of Bacteria Colonies |
| title | Mobile Vision-based Automatic Counting of Bacteria Colonies |
| title_full | Mobile Vision-based Automatic Counting of Bacteria Colonies |
| title_fullStr | Mobile Vision-based Automatic Counting of Bacteria Colonies |
| title_full_unstemmed | Mobile Vision-based Automatic Counting of Bacteria Colonies |
| title_short | Mobile Vision-based Automatic Counting of Bacteria Colonies |
| title_sort | mobile vision-based automatic counting of bacteria colonies |
| topic | T Technology (General) |
| url | http://ir.unimas.my/id/eprint/16656/ http://ir.unimas.my/id/eprint/16656/ http://ir.unimas.my/id/eprint/16656/ http://ir.unimas.my/id/eprint/16656/1/Mobile%20Vision-based%20Automatic%20Counting%20%28abstract%29.pdf |