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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/16656/1/Mobile%20Vision-based%20Automatic%20Counting%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/16656/ http://ieeexplore.ieee.org/document/7890774/ |
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| Summary: | 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. |
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