TY - GEN
T1 - Mobile vision-based automatic counting of bacteria colonies
AU - Minoi, Jacey Lynn
AU - Chiang, Tin Tze
AU - Lim, Terrin
AU - Yusoff, Zaharin
AU - Karim, Abdul Hafiz Abdul
AU - Zulharnain, Azham
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/30
Y1 - 2017/3/30
N2 - 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.
AB - 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.
KW - Colony counting
KW - Hough transform
KW - wavelet
UR - http://www.scopus.com/inward/record.url?scp=85018242076&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018242076&partnerID=8YFLogxK
U2 - 10.1109/ICICTM.2016.7890774
DO - 10.1109/ICICTM.2016.7890774
M3 - Conference contribution
AN - SCOPUS:85018242076
T3 - ICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology
SP - 41
EP - 46
BT - ICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Information and Communication Technology, ICICTM 2016
Y2 - 16 May 2016 through 17 May 2016
ER -