TY  - JOUR
T1  - An Accurate Computational Analysis Technique for Bacterial Colonies Counting
AU - Adnan Abbas, Sanaa 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 19
SP  - 7138
EP  - 7141
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.7138.7141
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.7138.7141
KW  - Bacterial colonies
KW  -auto-counting
KW  -digital image analysis
KW  -YCbCr color image
KW  -technique
KW  -applications
AB  - Bacterial colony counting is one of the fundamental approaches utilized in microbiology for
quantifying and isolating various sets of microorganisms. Until now, in most laboratories, the process of
counting is achieved manually and this process is very exhausted and consumes time. In this study, an accurate
technique based on digital image analysis is proposed for auto-counting of the bacterial colony with minimal
time and effort. The results show better reliability by containing the obtained measurements of counting
comparing with the manual counting with a total average error equal to 1.22%. The proposed technique
outperforms the other traditional techniques, giving a hopeful technique for several related applications.
ER  -