Automated Counting and Identification of Cell Colonies Based on Distance Transform and Progressive Erosion

DOI

10.2991/icacsei.2013.34How to use a DOI?

Keywords

Digital Image Processing, Automated Colony Identification, Distance Transform.

Abstract

In this paper, a novel algorithm is proposed to facilitate the automated counting and identification of cell colonies in a Petri dish. In order to detect all the individual colonies, the original Petri dish image is converted to a black white version, after which a distance transform is carried out to highlight the colony centers. Finally, a progressive erosion approach is adopted to isolate and identify all the individual colonies. Experiment results show that the algorithm performs well on practical Petri dish images.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhi feng Hu
PY  - 2013/08
DA  - 2013/08
TI  - Automated Counting and Identification of Cell Colonies Based on Distance Transform and Progressive Erosion
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 139
EP  - 142
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.34
DO  - 10.2991/icacsei.2013.34
ID  - Hu2013/08
ER  -