Mobile vision-based automatic counting of bacteria colonies

Jacey Lynn Minoi, Tin Tze Chiang, Terrin Lim, Zaharin Yusoff, Abdul Hafiz Abdul Karim, Azham Zulharnain

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

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 non-controlled environment.

本文言語English
ホスト出版物のタイトルICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology
出版社Institute of Electrical and Electronics Engineers Inc.
ページ41-46
ページ数6
ISBN(電子版)9781509004126
DOI
出版ステータスPublished - 2017 3月 30
外部発表はい
イベント1st International Conference on Information and Communication Technology, ICICTM 2016 - Kuala Lumpur, Malaysia
継続期間: 2016 5月 162016 5月 17

出版物シリーズ

名前ICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology

Conference

Conference1st International Conference on Information and Communication Technology, ICICTM 2016
国/地域Malaysia
CityKuala Lumpur
Period16/5/1616/5/17

ASJC Scopus subject areas

  • 情報システム
  • 人工知能
  • コンピュータ ネットワークおよび通信

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